Class: Google::Apis::AiplatformV1beta1::AiplatformService
- Inherits:
-
Core::BaseService
- Object
- Core::BaseService
- Google::Apis::AiplatformV1beta1::AiplatformService
- Defined in:
- lib/google/apis/aiplatform_v1beta1/service.rb
Overview
Vertex AI API
Train high-quality custom machine learning models with minimal machine learning expertise and effort.
Constant Summary collapse
- DEFAULT_ENDPOINT_TEMPLATE =
"https://aiplatform.$UNIVERSE_DOMAIN$/"
Instance Attribute Summary collapse
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
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#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_v1beta1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsResponse
Adds a set of Artifacts and Executions to a Context.
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#add_project_location_metadata_store_context_context_children(context, google_cloud_aiplatform_v1beta1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextChildrenResponse
Adds a set of Contexts as children to a parent Context.
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#add_project_location_metadata_store_execution_execution_events(execution, google_cloud_aiplatform_v1beta1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddExecutionEventsResponse
Adds Events to the specified Execution.
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#add_project_location_study_trial_trial_measurement(trial_name, google_cloud_aiplatform_v1beta1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Adds a measurement of the objective metrics to a Trial.
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#assign_project_location_notebook_runtime(parent, google_cloud_aiplatform_v1beta1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Assigns a NotebookRuntime to a user for a particular Notebook file.
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#batch_project_location_featurestore_entity_type_feature_create(parent, google_cloud_aiplatform_v1beta1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a batch of Features in a given EntityType.
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#batch_project_location_featurestore_read_feature_values(featurestore, google_cloud_aiplatform_v1beta1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch reads Feature values from a Featurestore.
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#batch_project_location_migratable_resource_migrate(parent, google_cloud_aiplatform_v1beta1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
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#batch_project_location_model_evaluation_slice_import(parent, google_cloud_aiplatform_v1beta1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsResponse
Imports a list of externally generated EvaluatedAnnotations.
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#batch_project_location_pipeline_job_cancel(parent, google_cloud_aiplatform_v1beta1_batch_cancel_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch cancel PipelineJobs.
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#batch_project_location_pipeline_job_delete(parent, google_cloud_aiplatform_v1beta1_batch_delete_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch deletes PipelineJobs The Operation is atomic.
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#batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesResponse
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
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#batch_project_location_tensorboard_experiment_run_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsResponse
Batch create TensorboardRuns.
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#batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse
Reads multiple TensorboardTimeSeries' data.
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#cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1beta1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a BatchPredictionJob.
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#cancel_project_location_custom_job(name, google_cloud_aiplatform_v1beta1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a CustomJob.
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#cancel_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_data_labeling_job(name, google_cloud_aiplatform_v1beta1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a DataLabelingJob.
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#cancel_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_hyperparameter_tuning_job(name, google_cloud_aiplatform_v1beta1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a HyperparameterTuningJob.
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#cancel_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_nas_job(name, google_cloud_aiplatform_v1beta1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a NasJob.
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#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_pipeline_job(name, google_cloud_aiplatform_v1beta1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a PipelineJob.
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#cancel_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_training_pipeline(name, google_cloud_aiplatform_v1beta1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a TrainingPipeline.
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#cancel_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#check_project_location_study_trial_trial_early_stopping_state(trial_name, google_cloud_aiplatform_v1beta1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Checks whether a Trial should stop or not.
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#complete_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Marks a Trial as complete.
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#compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse
Return a list of tokens based on the input text.
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#compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse
Return a list of tokens based on the input text.
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#copy_project_location_model(parent, google_cloud_aiplatform_v1beta1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Copies an already existing Vertex AI Model into the specified Location.
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#count_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse
Perform a token counting.
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#count_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse
Perform a token counting.
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#create_project_location_batch_prediction_job(parent, google_cloud_aiplatform_v1beta1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob
Creates a BatchPredictionJob.
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#create_project_location_custom_job(parent, google_cloud_aiplatform_v1beta1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob
Creates a CustomJob.
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#create_project_location_data_labeling_job(parent, google_cloud_aiplatform_v1beta1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob
Creates a DataLabelingJob.
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#create_project_location_dataset(parent, google_cloud_aiplatform_v1beta1_dataset_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a Dataset.
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#create_project_location_dataset_dataset_version(parent, google_cloud_aiplatform_v1beta1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Create a version from a Dataset.
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#create_project_location_deployment_resource_pool(parent, google_cloud_aiplatform_v1beta1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Create a DeploymentResourcePool.
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#create_project_location_endpoint(parent, google_cloud_aiplatform_v1beta1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an Endpoint.
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#create_project_location_feature_group(parent, google_cloud_aiplatform_v1beta1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureGroup in a given project and location.
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#create_project_location_feature_group_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Feature in a given FeatureGroup.
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#create_project_location_feature_online_store(parent, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureOnlineStore in a given project and location.
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#create_project_location_feature_online_store_feature_view(parent, google_cloud_aiplatform_v1beta1_feature_view_object = nil, feature_view_id: nil, run_sync_immediately: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureView in a given FeatureOnlineStore.
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#create_project_location_featurestore(parent, google_cloud_aiplatform_v1beta1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Featurestore in a given project and location.
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#create_project_location_featurestore_entity_type(parent, google_cloud_aiplatform_v1beta1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new EntityType in a given Featurestore.
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#create_project_location_featurestore_entity_type_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Feature in a given EntityType.
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#create_project_location_hyperparameter_tuning_job(parent, google_cloud_aiplatform_v1beta1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Creates a HyperparameterTuningJob.
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#create_project_location_index(parent, google_cloud_aiplatform_v1beta1_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an Index.
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#create_project_location_index_endpoint(parent, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an IndexEndpoint.
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#create_project_location_metadata_store(parent, google_cloud_aiplatform_v1beta1_metadata_store_object = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Initializes a MetadataStore, including allocation of resources.
-
#create_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1beta1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Creates an Artifact associated with a MetadataStore.
-
#create_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1beta1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Creates a Context associated with a MetadataStore.
-
#create_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1beta1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Creates an Execution associated with a MetadataStore.
-
#create_project_location_metadata_store_metadata_schema(parent, google_cloud_aiplatform_v1beta1_metadata_schema_object = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema
Creates a MetadataSchema.
-
#create_project_location_model_deployment_monitoring_job(parent, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Creates a ModelDeploymentMonitoringJob.
-
#create_project_location_nas_job(parent, google_cloud_aiplatform_v1beta1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob
Creates a NasJob.
-
#create_project_location_notebook_runtime_template(parent, google_cloud_aiplatform_v1beta1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a NotebookRuntimeTemplate.
-
#create_project_location_persistent_resource(parent, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, persistent_resource_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a PersistentResource.
-
#create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1beta1_pipeline_job_object = nil, pipeline_job_id: nil, preflight_validations: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob
Creates a PipelineJob.
-
#create_project_location_schedule(parent, google_cloud_aiplatform_v1beta1_schedule_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Creates a Schedule.
-
#create_project_location_specialist_pool(parent, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a SpecialistPool.
-
#create_project_location_study(parent, google_cloud_aiplatform_v1beta1_study_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Creates a Study.
-
#create_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Adds a user provided Trial to a Study.
-
#create_project_location_tensorboard(parent, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a Tensorboard.
-
#create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Creates a TensorboardExperiment.
-
#create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Creates a TensorboardRun.
-
#create_project_location_tensorboard_experiment_run_time_series(parent, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Creates a TensorboardTimeSeries.
-
#create_project_location_training_pipeline(parent, google_cloud_aiplatform_v1beta1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline
Creates a TrainingPipeline.
-
#delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a BatchPredictionJob.
-
#delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a CustomJob.
-
#delete_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a DataLabelingJob.
-
#delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Dataset.
-
#delete_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Dataset version.
-
#delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a SavedQuery.
-
#delete_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Delete a DeploymentResourcePool.
-
#delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Endpoint.
-
#delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_feature_group(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureGroup.
-
#delete_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Feature.
-
#delete_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_feature_online_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureOnlineStore.
-
#delete_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureView.
-
#delete_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Featurestore.
-
#delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single EntityType.
-
#delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Feature.
-
#delete_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Delete Feature values from Featurestore.
-
#delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
-
#delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Index.
-
#delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an IndexEndpoint.
-
#delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
-
#delete_project_location_metadata_store_artifact(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Artifact.
-
#delete_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store_context(name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a stored Context.
-
#delete_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store_execution(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Execution.
-
#delete_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Model.
-
#delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a ModelDeploymentMonitoringJob.
-
#delete_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Model version.
-
#delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NasJob.
-
#delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NotebookRuntime.
-
#delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NotebookRuntimeTemplate.
-
#delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a PersistentResource.
-
#delete_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a PipelineJob.
-
#delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Schedule.
-
#delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_specialist_pool(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a SpecialistPool as well as all Specialists in the pool.
-
#delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a Study.
-
#delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a Trial.
-
#delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Tensorboard.
-
#delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardExperiment.
-
#delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardRun.
-
#delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardTimeSeries.
-
#delete_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TrainingPipeline.
-
#delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deploys a Model into this Endpoint, creating a DeployedModel within it.
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#deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
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#direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectPredictResponse
Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.
-
#direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectRawPredictResponse
Perform an unary online prediction request to a gRPC model server for custom containers.
-
#explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplainResponse
Perform an online explanation.
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#export_project_location_dataset(name, google_cloud_aiplatform_v1beta1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports data from a Dataset.
-
#export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports Feature values from all the entities of a target EntityType.
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#export_project_location_model(name, google_cloud_aiplatform_v1beta1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports a trained, exportable Model to a location specified by the user.
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#export_project_location_tensorboard_experiment_run_time_series_tensorboard_time_series(tensorboard_time_series, google_cloud_aiplatform_v1beta1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataResponse
Exports a TensorboardTimeSeries' data.
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#fetch_project_location_feature_online_store_feature_view_feature_values(feature_view, google_cloud_aiplatform_v1beta1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FetchFeatureValuesResponse
Fetch feature values under a FeatureView.
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#find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1beta1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FindNeighborsResponse
Finds the nearest neighbors of each vector within the request.
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#generate_project_location_endpoint_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs.
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#generate_project_location_notebook_execution_job_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse
Internal only: Called from Compute Engine instance to obtain EUC for owner Anonymous access: authenticates caller using VM identity JWT.
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#generate_project_location_notebook_runtime_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse
Internal only: Called from Compute Engine instance to obtain EUC for owner Anonymous access: authenticates caller using VM identity JWT.
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#generate_project_location_publisher_model_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs.
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#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudLocationLocation
Gets information about a location.
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#get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob
Gets a BatchPredictionJob.
-
#get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob
Gets a CustomJob.
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#get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob
Gets a DataLabelingJob.
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#get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset
Gets a Dataset.
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#get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AnnotationSpec
Gets an AnnotationSpec.
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#get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetVersion
Gets a Dataset version.
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#get_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeploymentResourcePool
Get a DeploymentResourcePool.
-
#get_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint
Gets an Endpoint.
-
#get_project_location_endpoint_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_feature_group(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup
Gets details of a single FeatureGroup.
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#get_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Gets details of a single Feature.
-
#get_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_feature_online_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore
Gets details of a single FeatureOnlineStore.
-
#get_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView
Gets details of a single FeatureView.
-
#get_project_location_feature_online_store_feature_view_feature_view_sync(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewSync
Gets details of a single FeatureViewSync.
-
#get_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore
Gets details of a single Featurestore.
-
#get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType
Gets details of a single EntityType.
-
#get_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Gets details of a single Feature.
-
#get_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore_entity_type_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore_iam_policy(resource, google_iam_v1_get_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Gets a HyperparameterTuningJob.
-
#get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index
Gets an Index.
-
#get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint
Gets an IndexEndpoint.
-
#get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataStore
Retrieves a specific MetadataStore.
-
#get_project_location_metadata_store_artifact(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Retrieves a specific Artifact.
-
#get_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Retrieves a specific Context.
-
#get_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_execution(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Retrieves a specific Execution.
-
#get_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema
Retrieves a specific MetadataSchema.
-
#get_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Gets a Model.
-
#get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
-
#get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation
Gets a ModelEvaluation.
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#get_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluationSlice
Gets a ModelEvaluationSlice.
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#get_project_location_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob
Gets a NasJob.
-
#get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasTrialDetail
Gets a NasTrialDetail.
-
#get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntime
Gets a NotebookRuntime.
-
#get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate
Gets a NotebookRuntimeTemplate.
-
#get_project_location_notebook_runtime_template_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource
Gets a PersistentResource.
-
#get_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob
Gets a PipelineJob.
-
#get_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_publisher_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Gets a Schedule.
-
#get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_specialist_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool
Gets a SpecialistPool.
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#get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Gets a Study by name.
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#get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Gets a Trial.
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#get_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard
Gets a Tensorboard.
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#get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Gets a TensorboardExperiment.
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#get_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Gets a TensorboardRun.
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#get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Gets a TensorboardTimeSeries.
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#get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline
Gets a TrainingPipeline.
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#get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PublisherModel
Gets a Model Garden publisher model.
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#import_project_location_dataset(name, google_cloud_aiplatform_v1beta1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Imports data into a Dataset.
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#import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Imports Feature values into the Featurestore from a source storage.
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#import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1beta1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation
Imports an externally generated ModelEvaluation.
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#initialize ⇒ AiplatformService
constructor
A new instance of AiplatformService.
-
#list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListBatchPredictionJobsResponse
Lists BatchPredictionJobs in a Location.
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#list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListCustomJobsResponse
Lists CustomJobs in a Location.
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#list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataLabelingJobsResponse
Lists DataLabelingJobs in a Location.
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#list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListAnnotationsResponse
Lists Annotations belongs to a dataitem.
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#list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataItemsResponse
Lists DataItems in a Dataset.
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#list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetVersionsResponse
Lists DatasetVersions in a Dataset.
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#list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSavedQueriesResponse
Lists SavedQueries in a Dataset.
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#list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetsResponse
Lists Datasets in a Location.
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#list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_deployment_resource_pools(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDeploymentResourcePoolsResponse
List DeploymentResourcePools in a location.
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#list_project_location_edge_device_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEndpointsResponse
Lists Endpoints in a Location.
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#list_project_location_example_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_extension_controller_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_extension_deployment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_extension_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_group_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_group_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse
Lists Features in a given FeatureGroup.
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#list_project_location_feature_group_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_groups(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureGroupsResponse
Lists FeatureGroups in a given project and location.
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#list_project_location_feature_online_store_feature_view_feature_view_syncs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewSyncsResponse
Lists FeatureViewSyncs in a given FeatureView.
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#list_project_location_feature_online_store_feature_view_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_online_store_feature_views(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewsResponse
Lists FeatureViews in a given FeatureOnlineStore.
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#list_project_location_feature_online_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_online_stores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureOnlineStoresResponse
Lists FeatureOnlineStores in a given project and location.
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#list_project_location_featurestore_entity_type_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_featurestore_entity_type_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse
Lists Features in a given EntityType.
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#list_project_location_featurestore_entity_type_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_featurestore_entity_types(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEntityTypesResponse
Lists EntityTypes in a given Featurestore.
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#list_project_location_featurestore_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_featurestores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturestoresResponse
Lists Featurestores in a given project and location.
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#list_project_location_hyperparameter_tuning_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_hyperparameter_tuning_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListHyperparameterTuningJobsResponse
Lists HyperparameterTuningJobs in a Location.
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#list_project_location_index_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_index_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexEndpointsResponse
Lists IndexEndpoints in a Location.
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#list_project_location_index_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_indexes(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexesResponse
Lists Indexes in a Location.
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#list_project_location_metadata_store_artifact_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_artifacts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListArtifactsResponse
Lists Artifacts in the MetadataStore.
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#list_project_location_metadata_store_context_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_contexts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListContextsResponse
Lists Contexts on the MetadataStore.
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#list_project_location_metadata_store_execution_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_executions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListExecutionsResponse
Lists Executions in the MetadataStore.
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#list_project_location_metadata_store_metadata_schemas(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataSchemasResponse
Lists MetadataSchemas.
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#list_project_location_metadata_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_stores(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataStoresResponse
Lists MetadataStores for a Location.
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#list_project_location_migratable_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_deployment_monitoring_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_deployment_monitoring_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelDeploymentMonitoringJobsResponse
Lists ModelDeploymentMonitoringJobs in a Location.
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#list_project_location_model_evaluation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_evaluation_slices(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationSlicesResponse
Lists ModelEvaluationSlices in a ModelEvaluation.
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#list_project_location_model_evaluations(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationsResponse
Lists ModelEvaluations in a Model.
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#list_project_location_model_monitor_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_model_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_versions(name, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelVersionsResponse
Lists versions of the specified model.
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#list_project_location_models(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelsResponse
Lists Models in a Location.
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#list_project_location_nas_job_nas_trial_details(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasTrialDetailsResponse
List top NasTrialDetails of a NasJob.
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#list_project_location_nas_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasJobsResponse
Lists NasJobs in a Location.
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#list_project_location_notebook_runtime_templates(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimeTemplatesResponse
Lists NotebookRuntimeTemplates in a Location.
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#list_project_location_notebook_runtimes(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimesResponse
Lists NotebookRuntimes in a Location.
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#list_project_location_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_persistent_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_persistent_resources(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPersistentResourcesResponse
Lists PersistentResources in a Location.
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#list_project_location_pipeline_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_pipeline_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPipelineJobsResponse
Lists PipelineJobs in a Location.
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#list_project_location_reasoning_engine_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_schedule_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_schedules(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSchedulesResponse
Lists Schedules in a Location.
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#list_project_location_solver_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_specialist_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_specialist_pools(parent, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSpecialistPoolsResponse
Lists SpecialistPools in a Location.
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#list_project_location_studies(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListStudiesResponse
Lists all the studies in a region for an associated project.
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#list_project_location_study_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_study_trial_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1beta1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListOptimalTrialsResponse
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
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#list_project_location_study_trials(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrialsResponse
Lists the Trials associated with a Study.
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#list_project_location_tensorboard_experiment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboard_experiment_run_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_tensorboard_experiment_run_time_series(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardTimeSeriesResponse
Lists TensorboardTimeSeries in a Location.
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#list_project_location_tensorboard_experiment_run_time_series_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboard_experiment_runs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardRunsResponse
Lists TensorboardRuns in a Location.
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#list_project_location_tensorboard_experiments(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardExperimentsResponse
Lists TensorboardExperiments in a Location.
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#list_project_location_tensorboard_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboards(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardsResponse
Lists Tensorboards in a Location.
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#list_project_location_training_pipeline_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_training_pipelines(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrainingPipelinesResponse
Lists TrainingPipelines in a Location.
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#list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudLocationListLocationsResponse
Lists information about the supported locations for this service.
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#list_publisher_models(parent, filter: nil, language_code: nil, order_by: nil, page_size: nil, page_token: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPublisherModelsResponse
Lists publisher models in Model Garden.
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#lookup_project_location_study(parent, google_cloud_aiplatform_v1beta1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
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#merge_project_location_model_version_aliases(name, google_cloud_aiplatform_v1beta1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Merges a set of aliases for a Model version.
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#mutate_project_location_endpoint_deployed_model(endpoint, google_cloud_aiplatform_v1beta1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates an existing deployed model.
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#mutate_project_location_index_endpoint_deployed_index(index_endpoint, google_cloud_aiplatform_v1beta1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Update an existing DeployedIndex under an IndexEndpoint.
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#patch_project_location_dataset(name, google_cloud_aiplatform_v1beta1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset
Updates a Dataset.
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#patch_project_location_endpoint(name, google_cloud_aiplatform_v1beta1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint
Updates an Endpoint.
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#patch_project_location_feature_group(name, google_cloud_aiplatform_v1beta1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureGroup.
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#patch_project_location_feature_group_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single Feature.
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#patch_project_location_feature_online_store(name, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureOnlineStore.
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#patch_project_location_feature_online_store_feature_view(name, google_cloud_aiplatform_v1beta1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureView.
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#patch_project_location_featurestore(name, google_cloud_aiplatform_v1beta1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single Featurestore.
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#patch_project_location_featurestore_entity_type(name, google_cloud_aiplatform_v1beta1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType
Updates the parameters of a single EntityType.
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#patch_project_location_featurestore_entity_type_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Updates the parameters of a single Feature.
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#patch_project_location_index(name, google_cloud_aiplatform_v1beta1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates an Index.
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#patch_project_location_index_endpoint(name, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint
Updates an IndexEndpoint.
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#patch_project_location_metadata_store_artifact(name, google_cloud_aiplatform_v1beta1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Updates a stored Artifact.
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#patch_project_location_metadata_store_context(name, google_cloud_aiplatform_v1beta1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Updates a stored Context.
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#patch_project_location_metadata_store_execution(name, google_cloud_aiplatform_v1beta1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Updates a stored Execution.
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#patch_project_location_model(name, google_cloud_aiplatform_v1beta1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Updates a Model.
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#patch_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a ModelDeploymentMonitoringJob.
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#patch_project_location_persistent_resource(name, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a PersistentResource.
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#patch_project_location_schedule(name, google_cloud_aiplatform_v1beta1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Updates an active or paused Schedule.
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#patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a SpecialistPool.
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#patch_project_location_tensorboard(name, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a Tensorboard.
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#patch_project_location_tensorboard_experiment(name, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Updates a TensorboardExperiment.
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#patch_project_location_tensorboard_experiment_run(name, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Updates a TensorboardRun.
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#patch_project_location_tensorboard_experiment_run_time_series(name, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Updates a TensorboardTimeSeries.
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#pause_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Pauses a ModelDeploymentMonitoringJob.
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#pause_project_location_schedule(name, google_cloud_aiplatform_v1beta1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Pauses a Schedule.
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#predict_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse
Perform an online prediction.
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#predict_project_location_publisher_model(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse
Perform an online prediction.
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#purge_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1beta1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Artifacts.
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#purge_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1beta1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Contexts.
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#purge_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1beta1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Executions.
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#query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QueryDeployedModelsResponse
List DeployedModels that have been deployed on this DeploymentResourcePool.
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#query_project_location_metadata_store_artifact_artifact_lineage_subgraph(artifact, filter: nil, max_hops: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
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#query_project_location_metadata_store_context_context_lineage_subgraph(context, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
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#query_project_location_metadata_store_execution_execution_inputs_and_outputs(execution, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
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#raw_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload.
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#raw_project_location_publisher_model_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload.
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#read_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse
Reads Feature values of a specific entity of an EntityType.
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#read_project_location_index_endpoint_index_datapoints(index_endpoint, google_cloud_aiplatform_v1beta1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadIndexDatapointsResponse
Reads the datapoints/vectors of the given IDs.
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#read_project_location_tensorboard_experiment_run_time_series(tensorboard_time_series, filter: nil, max_data_points: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardTimeSeriesDataResponse
Reads a TensorboardTimeSeries' data.
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#read_project_location_tensorboard_experiment_run_time_series_blob_data(time_series, blob_ids: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardBlobDataResponse
Gets bytes of TensorboardBlobs.
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#read_project_location_tensorboard_size(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardSizeResponse
Returns the storage size for a given TensorBoard instance.
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#read_project_location_tensorboard_usage(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponse
Returns a list of monthly active users for a given TensorBoard instance.
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#remove_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveDatapointsResponse
Remove Datapoints from an Index.
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#remove_project_location_metadata_store_context_context_children(context, google_cloud_aiplatform_v1beta1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveContextChildrenResponse
Remove a set of children contexts from a parent Context.
- #report_project_location_notebook_execution_job_event(name, google_cloud_aiplatform_v1beta1_report_execution_event_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportExecutionEventResponse
- #report_project_location_notebook_runtime_event(name, google_cloud_aiplatform_v1beta1_report_runtime_event_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportRuntimeEventResponse
-
#restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Restores a dataset version.
-
#resume_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Resumes a paused ModelDeploymentMonitoringJob.
-
#resume_project_location_schedule(name, google_cloud_aiplatform_v1beta1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Resumes a paused Schedule to start scheduling new runs.
-
#search_project_location_dataset_data_items(dataset, annotation_filters: nil, annotations_filter: nil, annotations_limit: nil, data_item_filter: nil, data_labeling_job: nil, field_mask: nil, order_by: nil, order_by_annotation_order_by: nil, order_by_annotation_saved_query: nil, order_by_data_item: nil, page_size: nil, page_token: nil, saved_query: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchDataItemsResponse
Searches DataItems in a Dataset.
-
#search_project_location_feature_online_store_feature_view_nearest_entities(feature_view, google_cloud_aiplatform_v1beta1_search_nearest_entities_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchNearestEntitiesResponse
Search the nearest entities under a FeatureView.
-
#search_project_location_featurestore_features(location, page_size: nil, page_token: nil, query: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchFeaturesResponse
Searches Features matching a query in a given project.
-
#search_project_location_migratable_resources(parent, google_cloud_aiplatform_v1beta1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchMigratableResourcesResponse
Searches all of the resources in automl.googleapis.com, datalabeling.
-
#search_project_location_model_deployment_monitoring_job_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job, google_cloud_aiplatform_v1beta1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesResponse
Searches Model Monitoring Statistics generated within a given time window.
-
#server_project_location_endpoint_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
-
#server_project_location_publisher_model_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
-
#set_project_location_endpoint_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_location_featurestore_entity_type_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_location_featurestore_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_location_model_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#set_project_location_notebook_runtime_template_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
-
#start_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Starts a NotebookRuntime.
-
#stop_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Stops a Trial.
-
#stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
-
#stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
-
#streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1beta1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse
Reads Feature values for multiple entities.
-
#suggest_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.
-
#sync_project_location_feature_online_store_feature_view(feature_view, google_cloud_aiplatform_v1beta1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SyncFeatureViewResponse
Triggers on-demand sync for the FeatureView.
-
#test_project_location_endpoint_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#test_project_location_featurestore_entity_type_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#test_project_location_featurestore_iam_permissions(resource, google_iam_v1_test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#test_project_location_model_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#test_project_location_notebook_runtime_template_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
-
#undeploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
-
#undeploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
-
#update_project_location_model_explanation_dataset(model, google_cloud_aiplatform_v1beta1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Incrementally update the dataset used for an examples model.
-
#upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Upgrades a NotebookRuntime.
-
#upload_project_location_model(parent, google_cloud_aiplatform_v1beta1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Uploads a Model artifact into Vertex AI.
-
#upsert_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpsertDatapointsResponse
Add/update Datapoints into an Index.
-
#wait_project_location_custom_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_data_labeling_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_dataset_annotation_spec_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_dataset_data_item_annotation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_dataset_data_item_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_dataset_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_dataset_saved_query_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_deployment_resource_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_edge_device_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_example_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_extension_controller_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_extension_deployment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_extension_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_feature_group_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_feature_group_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_feature_online_store_feature_view_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_feature_online_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_featurestore_entity_type_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_featurestore_entity_type_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_featurestore_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_hyperparameter_tuning_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_index_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_index_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_metadata_store_artifact_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
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#wait_project_location_metadata_store_context_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_metadata_store_execution_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_metadata_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_migratable_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_model_deployment_monitoring_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_model_evaluation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_model_monitor_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_model_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_persistent_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_pipeline_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_reasoning_engine_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_schedule_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_specialist_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_time_series_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteFeatureValuesResponse
Writes Feature values of one or more entities of an EntityType.
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#write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1beta1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataResponse
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
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#write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1beta1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardRunDataResponse
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.
Constructor Details
#initialize ⇒ AiplatformService
Returns a new instance of AiplatformService.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 48 def initialize super(DEFAULT_ENDPOINT_TEMPLATE, '', client_name: 'google-apis-aiplatform_v1beta1', client_version: Google::Apis::AiplatformV1beta1::GEM_VERSION) @batch_path = 'batch' end |
Instance Attribute Details
#key ⇒ String
Returns API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 41 def key @key end |
#quota_user ⇒ String
Returns Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 46 def quota_user @quota_user end |
Instance Method Details
#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_v1beta1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsResponse
Adds a set of Artifacts and Executions to a Context. If any of the Artifacts or Executions have already been added to a Context, they are simply skipped.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10437 def (context, google_cloud_aiplatform_v1beta1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+context}:addContextArtifactsAndExecutions', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_add_context_artifacts_and_executions_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextArtifactsAndExecutionsResponse command.params['context'] = context unless context.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#add_project_location_metadata_store_context_context_children(context, google_cloud_aiplatform_v1beta1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextChildrenResponse
Adds a set of Contexts as children to a parent Context. If any of the child Contexts have already been added to the parent Context, they are simply skipped. If this call would create a cycle or cause any Context to have more than 10 parents, the request will fail with an INVALID_ARGUMENT error.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10474 def (context, google_cloud_aiplatform_v1beta1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+context}:addContextChildren', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextChildrenRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_add_context_children_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextChildrenResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddContextChildrenResponse command.params['context'] = context unless context.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#add_project_location_metadata_store_execution_execution_events(execution, google_cloud_aiplatform_v1beta1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddExecutionEventsResponse
Adds Events to the specified Execution. An Event indicates whether an Artifact was used as an input or output for an Execution. If an Event already exists between the Execution and the Artifact, the Event is skipped.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11023 def (execution, google_cloud_aiplatform_v1beta1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+execution}:addExecutionEvents', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddExecutionEventsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_add_execution_events_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddExecutionEventsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddExecutionEventsResponse command.params['execution'] = execution unless execution.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#add_project_location_study_trial_trial_measurement(trial_name, google_cloud_aiplatform_v1beta1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Adds a measurement of the objective metrics to a Trial. This measurement is assumed to have been taken before the Trial is complete.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17597 def add_project_location_study_trial_trial_measurement(trial_name, google_cloud_aiplatform_v1beta1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+trialName}:addTrialMeasurement', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AddTrialMeasurementRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_add_trial_measurement_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial command.params['trialName'] = trial_name unless trial_name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#assign_project_location_notebook_runtime(parent, google_cloud_aiplatform_v1beta1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Assigns a NotebookRuntime to a user for a particular Notebook file. This method will either returns an existing assignment or generates a new one.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14512 def assign_project_location_notebook_runtime(parent, google_cloud_aiplatform_v1beta1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/notebookRuntimes:assign', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AssignNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_assign_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_featurestore_entity_type_feature_create(parent, google_cloud_aiplatform_v1beta1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a batch of Features in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7623 def batch_project_location_featurestore_entity_type_feature_create(parent, google_cloud_aiplatform_v1beta1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/features:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateFeaturesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_create_features_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_featurestore_read_feature_values(featurestore, google_cloud_aiplatform_v1beta1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch reads Feature values from a Featurestore. This API enables batch reading Feature values, where each read instance in the batch may read Feature values of entities from one or more EntityTypes. Point-in-time correctness is guaranteed for Feature values of each read instance as of each instance's read timestamp.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6608 def batch_project_location_featurestore_read_feature_values(featurestore, google_cloud_aiplatform_v1beta1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+featurestore}:batchReadFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['featurestore'] = featurestore unless featurestore.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_migratable_resource_migrate(parent, google_cloud_aiplatform_v1beta1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11831 def batch_project_location_migratable_resource_migrate(parent, google_cloud_aiplatform_v1beta1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/migratableResources:batchMigrate', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchMigrateResourcesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_migrate_resources_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_model_evaluation_slice_import(parent, google_cloud_aiplatform_v1beta1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsResponse
Imports a list of externally generated EvaluatedAnnotations.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13601 def batch_project_location_model_evaluation_slice_import(parent, google_cloud_aiplatform_v1beta1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}:batchImport', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_import_evaluated_annotations_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchImportEvaluatedAnnotationsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_pipeline_job_cancel(parent, google_cloud_aiplatform_v1beta1_batch_cancel_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch cancel PipelineJobs. Firstly the server will check if all the jobs are in non-terminal states, and skip the jobs that are already terminated. If the operation failed, none of the pipeline jobs are cancelled. The server will poll the states of all the pipeline jobs periodically to check the cancellation status. This operation will return an LRO.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15374 def batch_project_location_pipeline_job_cancel(parent, google_cloud_aiplatform_v1beta1_batch_cancel_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/pipelineJobs:batchCancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCancelPipelineJobsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_cancel_pipeline_jobs_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_pipeline_job_delete(parent, google_cloud_aiplatform_v1beta1_batch_delete_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Batch deletes PipelineJobs The Operation is atomic. If it fails, none of the PipelineJobs are deleted. If it succeeds, all of the PipelineJobs are deleted.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15409 def batch_project_location_pipeline_job_delete(parent, google_cloud_aiplatform_v1beta1_batch_delete_pipeline_jobs_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/pipelineJobs:batchDelete', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchDeletePipelineJobsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_delete_pipeline_jobs_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesResponse
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18420 def batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_create_tensorboard_time_series_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardTimeSeriesResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_experiment_run_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsResponse
Batch create TensorboardRuns.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18871 def batch_project_location_tensorboard_experiment_run_create(parent, google_cloud_aiplatform_v1beta1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/runs:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_create_tensorboard_runs_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchCreateTensorboardRunsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse
Reads multiple TensorboardTimeSeries' data. The data point number limit is 1000 for scalars, 100 for tensors and blob references. If the number of data points stored is less than the limit, all data is returned. Otherwise, the number limit of data points is randomly selected from this time series and returned.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18134 def batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+tensorboard}:batchRead', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.query['timeSeries'] = time_series unless time_series.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1beta1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a BatchPredictionJob. Starts asynchronous cancellation on the
BatchPredictionJob. The server makes the best effort to cancel the job, but
success is not guaranteed. Clients can use JobService.GetBatchPredictionJob or
other methods to check whether the cancellation succeeded or whether the job
completed despite cancellation. On a successful cancellation, the
BatchPredictionJob is not deleted;instead its BatchPredictionJob.state is set
to CANCELLED. Any files already outputted by the job are not deleted.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 156 def cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1beta1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelBatchPredictionJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_batch_prediction_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_custom_job(name, google_cloud_aiplatform_v1beta1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a CustomJob. Starts asynchronous cancellation on the CustomJob. The
server makes a best effort to cancel the job, but success is not guaranteed.
Clients can use JobService.GetCustomJob or other methods to check whether the
cancellation succeeded or whether the job completed despite cancellation. On
successful cancellation, the CustomJob is not deleted; instead it becomes a
job with a CustomJob.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED, and CustomJob.state is set to CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 348 def cancel_project_location_custom_job(name, google_cloud_aiplatform_v1beta1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelCustomJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_custom_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 536 def cancel_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_data_labeling_job(name, google_cloud_aiplatform_v1beta1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 714 def cancel_project_location_data_labeling_job(name, google_cloud_aiplatform_v1beta1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelDataLabelingJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_data_labeling_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 907 def cancel_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1474 def cancel_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1752 def cancel_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1935 def cancel_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2297 def cancel_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2558 def cancel_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2922 def cancel_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3105 def cancel_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4063 def cancel_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4246 def cancel_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4429 def cancel_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4612 def cancel_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4795 def cancel_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7892 def cancel_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8075 def cancel_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8258 def cancel_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_hyperparameter_tuning_job(name, google_cloud_aiplatform_v1beta1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a HyperparameterTuningJob. Starts asynchronous cancellation on the
HyperparameterTuningJob. The server makes a best effort to cancel the job, but
success is not guaranteed. Clients can use JobService.
GetHyperparameterTuningJob or other methods to check whether the cancellation
succeeded or whether the job completed despite cancellation. On successful
cancellation, the HyperparameterTuningJob is not deleted; instead it becomes a
job with a HyperparameterTuningJob.error value with a google.rpc.Status.code
of 1, corresponding to Code.CANCELLED, and HyperparameterTuningJob.state is
set to CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8445 def cancel_project_location_hyperparameter_tuning_job(name, google_cloud_aiplatform_v1beta1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelHyperparameterTuningJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_hyperparameter_tuning_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8636 def cancel_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9182 def cancel_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9611 def cancel_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10257 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10842 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11349 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11652 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11907 def cancel_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12402 def cancel_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13422 def cancel_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12585 def cancel_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13718 def cancel_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_nas_job(name, google_cloud_aiplatform_v1beta1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a NasJob. Starts asynchronous cancellation on the NasJob. The server
makes a best effort to cancel the job, but success is not guaranteed. Clients
can use JobService.GetNasJob or other methods to check whether the
cancellation succeeded or whether the job completed despite cancellation. On
successful cancellation, the NasJob is not deleted; instead it becomes a job
with a NasJob.error value with a google.rpc.Status.code of 1, corresponding to
Code.CANCELLED, and NasJob.state is set to CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13902 def cancel_project_location_nas_job(name, google_cloud_aiplatform_v1beta1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelNasJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_nas_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14831 def cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15192 def cancel_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_pipeline_job(name, google_cloud_aiplatform_v1beta1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a PipelineJob. Starts asynchronous cancellation on the PipelineJob.
The server makes a best effort to cancel the pipeline, but success is not
guaranteed. Clients can use PipelineService.GetPipelineJob or other methods to
check whether the cancellation succeeded or whether the pipeline completed
despite cancellation. On successful cancellation, the PipelineJob is not
deleted; instead it becomes a pipeline with a PipelineJob.error value with a
google.rpc.Status.code of 1, corresponding to Code.CANCELLED, and
PipelineJob.state is set to CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15450 def cancel_project_location_pipeline_job(name, google_cloud_aiplatform_v1beta1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelPipelineJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_pipeline_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15668 def cancel_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16138 def cancel_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16599 def cancel_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17065 def cancel_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17418 def cancel_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17947 def cancel_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18691 def cancel_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19143 def cancel_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19636 def cancel_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19819 def cancel_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_training_pipeline(name, google_cloud_aiplatform_v1beta1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Cancels a TrainingPipeline. Starts asynchronous cancellation on the
TrainingPipeline. The server makes a best effort to cancel the pipeline, but
success is not guaranteed. Clients can use PipelineService.GetTrainingPipeline
or other methods to check whether the cancellation succeeded or whether the
pipeline completed despite cancellation. On successful cancellation, the
TrainingPipeline is not deleted; instead it becomes a pipeline with a
TrainingPipeline.error value with a google.rpc.Status.code of 1, corresponding
to Code.CANCELLED, and TrainingPipeline.state is set to CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20004 def cancel_project_location_training_pipeline(name, google_cloud_aiplatform_v1beta1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CancelTrainingPipelineRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_cancel_training_pipeline_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation. The server makes
a best effort to cancel the operation, but success is not guaranteed. If the
server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.
Clients can use Operations.GetOperation or other methods to check whether the
cancellation succeeded or whether the operation completed despite cancellation.
On successful cancellation, the operation is not deleted; instead, it becomes
an operation with an Operation.error value with a google.rpc.Status.code of 1,
corresponding to Code.CANCELLED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20195 def cancel_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#check_project_location_study_trial_trial_early_stopping_state(trial_name, google_cloud_aiplatform_v1beta1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Checks whether a Trial should stop or not. Returns a long-running operation. When the operation is successful, it will contain a CheckTrialEarlyStoppingStateResponse.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17633 def check_project_location_study_trial_trial_early_stopping_state(trial_name, google_cloud_aiplatform_v1beta1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+trialName}:checkTrialEarlyStoppingState', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CheckTrialEarlyStoppingStateRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_check_trial_early_stopping_state_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['trialName'] = trial_name unless trial_name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#complete_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Marks a Trial as complete.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17667 def complete_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:complete', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CompleteTrialRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_complete_trial_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse
Return a list of tokens based on the input text.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3283 def compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:computeTokens', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_compute_tokens_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse
Return a list of tokens based on the input text.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15846 def compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:computeTokens', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_compute_tokens_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ComputeTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#copy_project_location_model(parent, google_cloud_aiplatform_v1beta1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata content to be region- agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12767 def copy_project_location_model(parent, google_cloud_aiplatform_v1beta1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/models:copy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CopyModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_copy_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#count_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse
Perform a token counting.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3317 def count_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:countTokens', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_count_tokens_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#count_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse
Perform a token counting.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15880 def count_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1beta1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:countTokens', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_count_tokens_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CountTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_batch_prediction_job(parent, google_cloud_aiplatform_v1beta1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob
Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 191 def create_project_location_batch_prediction_job(parent, google_cloud_aiplatform_v1beta1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/batchPredictionJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_batch_prediction_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_custom_job(parent, google_cloud_aiplatform_v1beta1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob
Creates a CustomJob. A created CustomJob right away will be attempted to be run.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 383 def create_project_location_custom_job(parent, google_cloud_aiplatform_v1beta1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/customJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_custom_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_data_labeling_job(parent, google_cloud_aiplatform_v1beta1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob
Creates a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 748 def create_project_location_data_labeling_job(parent, google_cloud_aiplatform_v1beta1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/dataLabelingJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_data_labeling_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_dataset(parent, google_cloud_aiplatform_v1beta1_dataset_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1085 def create_project_location_dataset(parent, google_cloud_aiplatform_v1beta1_dataset_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/datasets', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset::Representation command.request_object = google_cloud_aiplatform_v1beta1_dataset_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_dataset_dataset_version(parent, google_cloud_aiplatform_v1beta1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Create a version from a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2113 def create_project_location_dataset_dataset_version(parent, google_cloud_aiplatform_v1beta1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/datasetVersions', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetVersion::Representation command.request_object = google_cloud_aiplatform_v1beta1_dataset_version_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_deployment_resource_pool(parent, google_cloud_aiplatform_v1beta1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Create a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2736 def create_project_location_deployment_resource_pool(parent, google_cloud_aiplatform_v1beta1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/deploymentResourcePools', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CreateDeploymentResourcePoolRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_create_deployment_resource_pool_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_endpoint(parent, google_cloud_aiplatform_v1beta1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an Endpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3361 def create_project_location_endpoint(parent, google_cloud_aiplatform_v1beta1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/endpoints', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint::Representation command.request_object = google_cloud_aiplatform_v1beta1_endpoint_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['endpointId'] = endpoint_id unless endpoint_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_feature_group(parent, google_cloud_aiplatform_v1beta1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureGroup in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4978 def create_project_location_feature_group(parent, google_cloud_aiplatform_v1beta1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/featureGroups', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_group_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featureGroupId'] = feature_group_id unless feature_group_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_feature_group_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Feature in a given FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5185 def create_project_location_feature_group_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/features', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featureId'] = feature_id unless feature_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_feature_online_store(parent, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureOnlineStore in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5704 def create_project_location_feature_online_store(parent, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/featureOnlineStores', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_online_store_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featureOnlineStoreId'] = feature_online_store_id unless feature_online_store_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_feature_online_store_feature_view(parent, google_cloud_aiplatform_v1beta1_feature_view_object = nil, feature_view_id: nil, run_sync_immediately: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new FeatureView in a given FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5917 def create_project_location_feature_online_store_feature_view(parent, google_cloud_aiplatform_v1beta1_feature_view_object = nil, feature_view_id: nil, run_sync_immediately: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/featureViews', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_view_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featureViewId'] = feature_view_id unless feature_view_id.nil? command.query['runSyncImmediately'] = run_sync_immediately unless run_sync_immediately.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_featurestore(parent, google_cloud_aiplatform_v1beta1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Featurestore in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6647 def create_project_location_featurestore(parent, google_cloud_aiplatform_v1beta1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/featurestores', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore::Representation command.request_object = google_cloud_aiplatform_v1beta1_featurestore_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featurestoreId'] = featurestore_id unless featurestore_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_featurestore_entity_type(parent, google_cloud_aiplatform_v1beta1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new EntityType in a given Featurestore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7046 def create_project_location_featurestore_entity_type(parent, google_cloud_aiplatform_v1beta1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/entityTypes', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType::Representation command.request_object = google_cloud_aiplatform_v1beta1_entity_type_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['entityTypeId'] = entity_type_id unless entity_type_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_featurestore_entity_type_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a new Feature in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7665 def create_project_location_featurestore_entity_type_feature(parent, google_cloud_aiplatform_v1beta1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/features', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['featureId'] = feature_id unless feature_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_hyperparameter_tuning_job(parent, google_cloud_aiplatform_v1beta1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Creates a HyperparameterTuningJob
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8479 def create_project_location_hyperparameter_tuning_job(parent, google_cloud_aiplatform_v1beta1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/hyperparameterTuningJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_hyperparameter_tuning_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_index(parent, google_cloud_aiplatform_v1beta1_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an Index.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9360 def create_project_location_index(parent, google_cloud_aiplatform_v1beta1_index_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/indexes', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index::Representation command.request_object = google_cloud_aiplatform_v1beta1_index_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_index_endpoint(parent, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8814 def create_project_location_index_endpoint(parent, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/indexEndpoints', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint::Representation command.request_object = google_cloud_aiplatform_v1beta1_index_endpoint_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_metadata_store(parent, google_cloud_aiplatform_v1beta1_metadata_store_object = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Initializes a MetadataStore, including allocation of resources.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9797 def (parent, = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/metadataStores', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataStore::Representation command.request_object = command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['metadataStoreId'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1beta1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Creates an Artifact associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9948 def (parent, google_cloud_aiplatform_v1beta1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/artifacts', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact::Representation command.request_object = google_cloud_aiplatform_v1beta1_artifact_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact command.params['parent'] = parent unless parent.nil? command.query['artifactId'] = artifact_id unless artifact_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1beta1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Creates a Context associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10517 def (parent, google_cloud_aiplatform_v1beta1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/contexts', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context::Representation command.request_object = google_cloud_aiplatform_v1beta1_context_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context command.params['parent'] = parent unless parent.nil? command.query['contextId'] = context_id unless context_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1beta1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Creates an Execution associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11066 def (parent, google_cloud_aiplatform_v1beta1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/executions', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution::Representation command.request_object = google_cloud_aiplatform_v1beta1_execution_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution command.params['parent'] = parent unless parent.nil? command.query['executionId'] = execution_id unless execution_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_metadata_store_metadata_schema(parent, google_cloud_aiplatform_v1beta1_metadata_schema_object = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema
Creates a MetadataSchema.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11536 def (parent, = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/metadataSchemas', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema::Representation command.request_object = command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema command.params['parent'] = parent unless parent.nil? command.query['metadataSchemaId'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_model_deployment_monitoring_job(parent, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Creates a ModelDeploymentMonitoringJob. It will run periodically on a configured interval.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12086 def create_project_location_model_deployment_monitoring_job(parent, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/modelDeploymentMonitoringJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_nas_job(parent, google_cloud_aiplatform_v1beta1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob
Creates a NasJob
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13936 def create_project_location_nas_job(parent, google_cloud_aiplatform_v1beta1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/nasJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_nas_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_notebook_runtime_template(parent, google_cloud_aiplatform_v1beta1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14228 def create_project_location_notebook_runtime_template(parent, google_cloud_aiplatform_v1beta1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/notebookRuntimeTemplates', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate::Representation command.request_object = google_cloud_aiplatform_v1beta1_notebook_runtime_template_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['notebookRuntimeTemplateId'] = notebook_runtime_template_id unless notebook_runtime_template_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_persistent_resource(parent, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, persistent_resource_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a PersistentResource.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15013 def create_project_location_persistent_resource(parent, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, persistent_resource_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/persistentResources', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource::Representation command.request_object = google_cloud_aiplatform_v1beta1_persistent_resource_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['persistentResourceId'] = persistent_resource_id unless persistent_resource_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1beta1_pipeline_job_object = nil, pipeline_job_id: nil, preflight_validations: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob
Creates a PipelineJob. A PipelineJob will run immediately when created.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15492 def create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1beta1_pipeline_job_object = nil, pipeline_job_id: nil, preflight_validations: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/pipelineJobs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_pipeline_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob command.params['parent'] = parent unless parent.nil? command.query['pipelineJobId'] = pipeline_job_id unless pipeline_job_id.nil? command.query['preflightValidations'] = preflight_validations unless preflight_validations.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_schedule(parent, google_cloud_aiplatform_v1beta1_schedule_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Creates a Schedule.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16316 def create_project_location_schedule(parent, google_cloud_aiplatform_v1beta1_schedule_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/schedules', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule::Representation command.request_object = google_cloud_aiplatform_v1beta1_schedule_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_specialist_pool(parent, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16881 def create_project_location_specialist_pool(parent, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/specialistPools', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool::Representation command.request_object = google_cloud_aiplatform_v1beta1_specialist_pool_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_study(parent, google_cloud_aiplatform_v1beta1_study_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Creates a Study. A resource name will be generated after creation of the Study.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17243 def create_project_location_study(parent, google_cloud_aiplatform_v1beta1_study_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/studies', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study::Representation command.request_object = google_cloud_aiplatform_v1beta1_study_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Adds a user provided Trial to a Study.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17701 def create_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_trial_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/trials', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.request_object = google_cloud_aiplatform_v1beta1_trial_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_tensorboard(parent, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Creates a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18167 def create_project_location_tensorboard(parent, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/tensorboards', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Creates a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18459 def create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/experiments', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_experiment_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment command.params['parent'] = parent unless parent.nil? command.query['tensorboardExperimentId'] = tensorboard_experiment_id unless tensorboard_experiment_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Creates a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18910 def create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/runs', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_run_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun command.params['parent'] = parent unless parent.nil? command.query['tensorboardRunId'] = tensorboard_run_id unless tensorboard_run_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_tensorboard_experiment_run_time_series(parent, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Creates a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19326 def create_project_location_tensorboard_experiment_run_time_series(parent, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/timeSeries', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_time_series_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries command.params['parent'] = parent unless parent.nil? command.query['tensorboardTimeSeriesId'] = tensorboard_time_series_id unless tensorboard_time_series_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#create_project_location_training_pipeline(parent, google_cloud_aiplatform_v1beta1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline
Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20039 def create_project_location_training_pipeline(parent, google_cloud_aiplatform_v1beta1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/trainingPipelines', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline::Representation command.request_object = google_cloud_aiplatform_v1beta1_training_pipeline_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 225 def delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a CustomJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 416 def delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 569 def delete_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 781 def delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 940 def delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1118 def delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1507 def delete_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1785 def delete_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1968 def delete_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Dataset version.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2147 def delete_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2330 def delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a SavedQuery.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2474 def delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2591 def delete_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Delete a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2770 def delete_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2955 def delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3138 def delete_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Endpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3395 def delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4096 def delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4279 def delete_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4462 def delete_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4645 def delete_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4828 def delete_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_group(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5015 def delete_project_location_feature_group(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5221 def delete_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5408 def delete_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5554 def delete_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_online_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureOnlineStore. The FeatureOnlineStore must not contain any FeatureViews.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5743 def delete_project_location_feature_online_store(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5953 def delete_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6312 def delete_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6458 def delete_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Featurestore. The Featurestore must not contain any
EntityTypes or force must be set to true for the request to succeed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6686 def delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single EntityType. The EntityType must not have any Features or
force must be set to true for the request to succeed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7084 def delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7701 def delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7925 def delete_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Delete Feature values from Featurestore. The progress of the deletion is tracked by the returned operation. The deleted feature values are guaranteed to be invisible to subsequent read operations after the operation is marked as successfully done. If a delete feature values operation fails, the feature values returned from reads and exports may be inconsistent. If consistency is required, the caller must retry the same delete request again and wait till the new operation returned is marked as successfully done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7124 def delete_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:deleteFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeleteFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_delete_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8108 def delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8291 def delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8513 def delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8669 def delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Index. An Index can only be deleted when all its DeployedIndexes had been undeployed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9394 def delete_project_location_index(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8847 def delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9215 def delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9644 def delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9834 def (name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_artifact(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Artifact.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9987 def (name, etag: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10290 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_context(name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a stored Context.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10559 def (name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10875 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_execution(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Execution.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11105 def (name, etag: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11382 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11685 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11940 def delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Model. A model cannot be deleted if any Endpoint resource has a DeployedModel based on the model in its deployed_models field.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12801 def delete_project_location_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12120 def delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12435 def delete_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13455 def delete_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12618 def delete_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13751 def delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Model version. Model version can only be deleted if there are no DeployedModels created from it. Deleting the only version in the Model is not allowed. Use DeleteModel for deleting the Model instead.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12835 def delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}:deleteVersion', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NasJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13969 def delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14547 def delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14263 def delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14864 def delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a PersistentResource.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15047 def delete_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15225 def delete_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a PipelineJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15527 def delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15701 def delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16171 def delete_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Schedule.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16349 def delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16632 def delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16778 def delete_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_specialist_pool(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a SpecialistPool as well as all Specialists in the pool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16918 def delete_project_location_specialist_pool(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17098 def delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a Study.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17276 def delete_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17451 def delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a Trial.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17734 def delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17980 def delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18200 def delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18494 def delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18724 def delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18945 def delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19176 def delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19361 def delete_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19669 def delete_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19852 def delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes a TrainingPipeline.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20072 def delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Deletes a long-running operation. This method indicates that the client is no
longer interested in the operation result. It does not cancel the operation.
If the server doesn't support this method, it returns google.rpc.Code.
UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20228 def delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deploys a Model into this Endpoint, creating a DeployedModel within it.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3427 def deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:deployModel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeployModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_deploy_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8881 def deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+indexEndpoint}:deployIndex', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeployIndexRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_deploy_index_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectPredictResponse
Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3462 def direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:directPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_direct_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectRawPredictResponse
Perform an unary online prediction request to a gRPC model server for custom containers.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3497 def direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1beta1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:directRawPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectRawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_direct_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectRawPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DirectRawPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplainResponse
Perform an online explanation. If deployed_model_id is specified, the corresponding DeployModel must have explanation_spec populated. If deployed_model_id is not specified, all DeployedModels must have explanation_spec populated.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3534 def explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:explain', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplainRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_explain_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplainResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExplainResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#export_project_location_dataset(name, google_cloud_aiplatform_v1beta1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports data from a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1150 def export_project_location_dataset(name, google_cloud_aiplatform_v1beta1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:export', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportDataRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_export_data_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports Feature values from all the entities of a target EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7159 def export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:exportFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_export_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#export_project_location_model(name, google_cloud_aiplatform_v1beta1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Exports a trained, exportable Model to a location specified by the user. A Model is considered to be exportable if it has at least one supported export format.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12870 def export_project_location_model(name, google_cloud_aiplatform_v1beta1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:export', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_export_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#export_project_location_tensorboard_experiment_run_time_series_tensorboard_time_series(tensorboard_time_series, google_cloud_aiplatform_v1beta1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataResponse
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19394 def export_project_location_tensorboard_experiment_run_time_series_tensorboard_time_series(tensorboard_time_series, google_cloud_aiplatform_v1beta1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+tensorboardTimeSeries}:exportTensorboardTimeSeries', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_export_tensorboard_time_series_data_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ExportTensorboardTimeSeriesDataResponse command.params['tensorboardTimeSeries'] = tensorboard_time_series unless tensorboard_time_series.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#fetch_project_location_feature_online_store_feature_view_feature_values(feature_view, google_cloud_aiplatform_v1beta1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FetchFeatureValuesResponse
Fetch feature values under a FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5985 def fetch_project_location_feature_online_store_feature_view_feature_values(feature_view, google_cloud_aiplatform_v1beta1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+featureView}:fetchFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FetchFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_fetch_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FetchFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FetchFeatureValuesResponse command.params['featureView'] = feature_view unless feature_view.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1beta1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FindNeighborsResponse
Finds the nearest neighbors of each vector within the request.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8915 def find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1beta1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+indexEndpoint}:findNeighbors', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FindNeighborsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_find_neighbors_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FindNeighborsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FindNeighborsResponse command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#generate_project_location_endpoint_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3568 def generate_project_location_endpoint_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+model}:generateContent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#generate_project_location_notebook_execution_job_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse
Internal only: Called from Compute Engine instance to obtain EUC for owner Anonymous access: authenticates caller using VM identity JWT. Design doc: go/ colab-on-vertex-euc-dd
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14158 def generate_project_location_notebook_execution_job_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:generateAccessToken', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_access_token_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#generate_project_location_notebook_runtime_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse
Internal only: Called from Compute Engine instance to obtain EUC for owner Anonymous access: authenticates caller using VM identity JWT. Design doc: go/ colab-on-vertex-euc-dd
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14583 def generate_project_location_notebook_runtime_access_token(name, google_cloud_aiplatform_v1beta1_generate_access_token_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:generateAccessToken', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_access_token_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateAccessTokenResponse command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#generate_project_location_publisher_model_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15914 def generate_project_location_publisher_model_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+model}:generateContent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudLocationLocation
Gets information about a location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 75 def get_project_location(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudLocationLocation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudLocationLocation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob
Gets a BatchPredictionJob
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 256 def get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchPredictionJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob
Gets a CustomJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 447 def get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1CustomJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 600 def get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob
Gets a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 812 def get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 971 def get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset
Gets a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1184 def get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset command.params['name'] = name unless name.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AnnotationSpec
Gets an AnnotationSpec.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1436 def get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AnnotationSpec::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1AnnotationSpec command.params['name'] = name unless name.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1538 def get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1816 def get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1999 def get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetVersion
Gets a Dataset version.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2181 def get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetVersion::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DatasetVersion command.params['name'] = name unless name.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2361 def get_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2622 def get_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeploymentResourcePool
Get a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2802 def get_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeploymentResourcePool::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeploymentResourcePool command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2986 def get_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3169 def get_project_location_edge_device_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint
Gets an Endpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3601 def get_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_endpoint_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3645 def get_project_location_endpoint_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4127 def get_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4310 def get_project_location_example_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4493 def get_project_location_extension_controller_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4676 def get_project_location_extension_deployment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4859 def get_project_location_extension_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_group(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup
Gets details of a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5046 def get_project_location_feature_group(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Gets details of a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5254 def get_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5439 def get_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5585 def get_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_online_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore
Gets details of a single FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5774 def get_project_location_feature_online_store(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView
Gets details of a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6019 def get_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_online_store_feature_view_feature_view_sync(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewSync
Gets details of a single FeatureViewSync.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6224 def get_project_location_feature_online_store_feature_view_feature_view_sync(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewSync::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureViewSync command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6343 def get_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6489 def get_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore
Gets details of a single Featurestore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6717 def get_project_location_featurestore(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType
Gets details of a single EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7192 def get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Gets details of a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7734 def get_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7956 def get_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_entity_type_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7236 def get_project_location_featurestore_entity_type_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8139 def get_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_iam_policy(resource, google_iam_v1_get_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6751 def get_project_location_featurestore_iam_policy(resource, google_iam_v1_get_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1GetIamPolicyRequest::Representation command.request_object = google_iam_v1_get_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8322 def get_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob
Gets a HyperparameterTuningJob
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8545 def get_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1HyperparameterTuningJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8700 def get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index
Gets an Index.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9425 def get_project_location_index(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint
Gets an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8948 def get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9246 def get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9675 def get_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataStore
Retrieves a specific MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9866 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataStore::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataStore command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_artifact(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Retrieves a specific Artifact.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10020 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10321 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Retrieves a specific Context.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10593 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10906 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_execution(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Retrieves a specific Execution.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11138 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11413 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema
Retrieves a specific MetadataSchema.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11571 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11716 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11971 def get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Gets a Model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12909 def get_project_location_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12152 def get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12466 def get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation
Gets a ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13306 def get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13486 def get_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluationSlice
Gets a ModelEvaluationSlice.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13635 def get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluationSlice::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluationSlice command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12953 def get_project_location_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12649 def get_project_location_model_monitor_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13782 def get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob
Gets a NasJob
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14000 def get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasTrialDetail
Gets a NasTrialDetail.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14083 def get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasTrialDetail::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NasTrialDetail command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntime
Gets a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14617 def get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntime::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntime command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate
Gets a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14295 def get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1NotebookRuntimeTemplate command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_notebook_runtime_template_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14339 def get_project_location_notebook_runtime_template_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14895 def get_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource
Gets a PersistentResource.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15079 def get_project_location_persistent_resource(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15256 def get_project_location_persistent_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob
Gets a PipelineJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15558 def get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PipelineJob command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15732 def get_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_publisher_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15960 def get_project_location_publisher_model_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['options.requestedPolicyVersion'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16202 def get_project_location_reasoning_engine_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Gets a Schedule.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16380 def get_project_location_schedule(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16663 def get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16809 def get_project_location_solver_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_specialist_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool
Gets a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16950 def get_project_location_specialist_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17129 def get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Gets a Study by name.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17307 def get_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17482 def get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Gets a Trial.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17765 def get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18011 def get_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard
Gets a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18231 def get_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Gets a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18526 def get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18755 def get_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Gets a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18977 def get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19207 def get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Gets a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19428 def get_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19700 def get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19883 def get_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline
Gets a TrainingPipeline.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20103 def get_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TrainingPipeline command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20259 def get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PublisherModel
Gets a Model Garden publisher model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20377 def get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PublisherModel::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PublisherModel command.params['name'] = name unless name.nil? command.query['languageCode'] = language_code unless language_code.nil? command.query['view'] = view unless view.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#import_project_location_dataset(name, google_cloud_aiplatform_v1beta1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Imports data into a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1217 def import_project_location_dataset(name, google_cloud_aiplatform_v1beta1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:import', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportDataRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_import_data_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Imports Feature values into the Featurestore from a source storage. The progress of the import is tracked by the returned operation. The imported features are guaranteed to be visible to subsequent read operations after the operation is marked as successfully done. If an import operation fails, the Feature values returned from reads and exports may be inconsistent. If consistency is required, the caller must retry the same import request again and wait till the new operation returned is marked as successfully done. There are also scenarios where the caller can cause inconsistency. - Source data for import contains multiple distinct Feature values for the same entity ID and timestamp. - Source is modified during an import. This includes adding, updating, or removing source data and/or metadata. Examples of updating metadata include but are not limited to changing storage location, storage class, or retention policy. - Online serving cluster is under-provisioned.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7282 def import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:importFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_import_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1beta1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation
Imports an externally generated ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13338 def import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1beta1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/evaluations:import', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ImportModelEvaluationRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_import_model_evaluation_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelEvaluation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListBatchPredictionJobsResponse
Lists BatchPredictionJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 306 def list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/batchPredictionJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListBatchPredictionJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListBatchPredictionJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 637 def list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListCustomJobsResponse
Lists CustomJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 495 def list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/customJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListCustomJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListCustomJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1008 def list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataLabelingJobsResponse
Lists DataLabelingJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 865 def list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/dataLabelingJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataLabelingJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataLabelingJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1575 def list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1853 def list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListAnnotationsResponse
Lists Annotations belongs to a dataitem
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1710 def list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/annotations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListAnnotationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListAnnotationsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2036 def list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataItemsResponse
Lists DataItems in a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1662 def list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/dataItems', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataItemsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDataItemsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetVersionsResponse
Lists DatasetVersions in a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2224 def list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/datasetVersions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetVersionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetVersionsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2398 def list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSavedQueriesResponse
Lists SavedQueries in a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2516 def list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/savedQueries', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSavedQueriesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSavedQueriesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2659 def list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetsResponse
Lists Datasets in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1268 def list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/datasets', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDatasetsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3023 def list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_deployment_resource_pools(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDeploymentResourcePoolsResponse
List DeploymentResourcePools in a location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2841 def list_project_location_deployment_resource_pools(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/deploymentResourcePools', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDeploymentResourcePoolsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListDeploymentResourcePoolsResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_edge_device_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3206 def list_project_location_edge_device_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4164 def list_project_location_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEndpointsResponse
Lists Endpoints in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3694 def list_project_location_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/endpoints', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEndpointsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEndpointsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_example_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4347 def list_project_location_example_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_extension_controller_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4530 def list_project_location_extension_controller_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_extension_deployment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4713 def list_project_location_extension_deployment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_extension_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4896 def list_project_location_extension_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_group_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5476 def list_project_location_feature_group_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_group_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse
Lists Features in a given FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5321 def list_project_location_feature_group_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/features', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['latestStatsCount'] = latest_stats_count unless latest_stats_count.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_group_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5622 def list_project_location_feature_group_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_groups(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureGroupsResponse
Lists FeatureGroups in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5099 def list_project_location_feature_groups(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/featureGroups', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureGroupsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureGroupsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_online_store_feature_view_feature_view_syncs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewSyncsResponse
Lists FeatureViewSyncs in a given FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6275 def list_project_location_feature_online_store_feature_view_feature_view_syncs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/featureViewSyncs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewSyncsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewSyncsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_online_store_feature_view_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6380 def list_project_location_feature_online_store_feature_view_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_online_store_feature_views(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewsResponse
Lists FeatureViews in a given FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6075 def list_project_location_feature_online_store_feature_views(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/featureViews', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureViewsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_online_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6526 def list_project_location_feature_online_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_feature_online_stores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureOnlineStoresResponse
Lists FeatureOnlineStores in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5829 def list_project_location_feature_online_stores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/featureOnlineStores', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureOnlineStoresResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeatureOnlineStoresResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestore_entity_type_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7993 def list_project_location_featurestore_entity_type_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestore_entity_type_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse
Lists Features in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7801 def list_project_location_featurestore_entity_type_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/features', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['latestStatsCount'] = latest_stats_count unless latest_stats_count.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestore_entity_type_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8176 def list_project_location_featurestore_entity_type_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestore_entity_types(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEntityTypesResponse
Lists EntityTypes in a given Featurestore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7341 def list_project_location_featurestore_entity_types(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/entityTypes', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEntityTypesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListEntityTypesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestore_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8359 def list_project_location_featurestore_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_featurestores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturestoresResponse
Lists Featurestores in a given project and location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6809 def list_project_location_featurestores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/featurestores', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturestoresResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListFeaturestoresResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_hyperparameter_tuning_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8737 def list_project_location_hyperparameter_tuning_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_hyperparameter_tuning_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListHyperparameterTuningJobsResponse
Lists HyperparameterTuningJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8595 def list_project_location_hyperparameter_tuning_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/hyperparameterTuningJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListHyperparameterTuningJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListHyperparameterTuningJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_index_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9283 def list_project_location_index_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_index_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexEndpointsResponse
Lists IndexEndpoints in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8998 def list_project_location_index_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/indexEndpoints', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexEndpointsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexEndpointsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_index_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9712 def list_project_location_index_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_indexes(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexesResponse
Lists Indexes in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9465 def list_project_location_indexes(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/indexes', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListIndexesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_artifact_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10358 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_artifacts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListArtifactsResponse
Lists Artifacts in the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10084 def (parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/artifacts', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListArtifactsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListArtifactsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_context_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10943 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_contexts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListContextsResponse
Lists Contexts on the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10657 def (parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/contexts', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListContextsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListContextsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_execution_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11450 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_executions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListExecutionsResponse
Lists Executions in the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11202 def (parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/executions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListExecutionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListExecutionsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_metadata_schemas(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataSchemasResponse
Lists MetadataSchemas.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11612 def (parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/metadataSchemas', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataSchemasResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataSchemasResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11753 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_stores(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataStoresResponse
Lists MetadataStores for a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9905 def (parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/metadataStores', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataStoresResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListMetadataStoresResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_migratable_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12008 def list_project_location_migratable_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_deployment_monitoring_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12503 def list_project_location_model_deployment_monitoring_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_deployment_monitoring_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelDeploymentMonitoringJobsResponse
Lists ModelDeploymentMonitoringJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12199 def list_project_location_model_deployment_monitoring_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/modelDeploymentMonitoringJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelDeploymentMonitoringJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelDeploymentMonitoringJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_evaluation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13523 def list_project_location_model_evaluation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_evaluation_slices(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationSlicesResponse
Lists ModelEvaluationSlices in a ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13677 def list_project_location_model_evaluation_slices(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/slices', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationSlicesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationSlicesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_evaluations(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationsResponse
Lists ModelEvaluations in a Model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13381 def list_project_location_model_evaluations(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/evaluations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelEvaluationsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_monitor_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12686 def list_project_location_model_monitor_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13819 def list_project_location_model_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_model_versions(name, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelVersionsResponse
Lists versions of the specified model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13052 def list_project_location_model_versions(name, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}:listVersions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelVersionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelVersionsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_models(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelsResponse
Lists Models in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13001 def list_project_location_models(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/models', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListModelsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_nas_job_nas_trial_details(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasTrialDetailsResponse
List top NasTrialDetails of a NasJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14120 def list_project_location_nas_job_nas_trial_details(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/nasTrialDetails', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasTrialDetailsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasTrialDetailsResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_nas_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasJobsResponse
Lists NasJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14048 def list_project_location_nas_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/nasJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNasJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_notebook_runtime_templates(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimeTemplatesResponse
Lists NotebookRuntimeTemplates in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14396 def list_project_location_notebook_runtime_templates(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/notebookRuntimeTemplates', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimeTemplatesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimeTemplatesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_notebook_runtimes(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimesResponse
Lists NotebookRuntimes in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14683 def list_project_location_notebook_runtimes(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/notebookRuntimes', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListNotebookRuntimesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14932 def list_project_location_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_persistent_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15293 def list_project_location_persistent_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_persistent_resources(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPersistentResourcesResponse
Lists PersistentResources in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15116 def list_project_location_persistent_resources(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/persistentResources', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPersistentResourcesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPersistentResourcesResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_pipeline_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15769 def list_project_location_pipeline_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_pipeline_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPipelineJobsResponse
Lists PipelineJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15626 def list_project_location_pipeline_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/pipelineJobs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPipelineJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPipelineJobsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_reasoning_engine_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16239 def list_project_location_reasoning_engine_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_schedule_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16700 def list_project_location_schedule_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_schedules(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSchedulesResponse
Lists Schedules in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16442 def list_project_location_schedules(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/schedules', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSchedulesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSchedulesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_solver_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16846 def list_project_location_solver_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_specialist_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17166 def list_project_location_specialist_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_specialist_pools(parent, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSpecialistPoolsResponse
Lists SpecialistPools in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16989 def list_project_location_specialist_pools(parent, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/specialistPools', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSpecialistPoolsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListSpecialistPoolsResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_studies(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListStudiesResponse
Lists all the studies in a region for an associated project.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17344 def list_project_location_studies(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/studies', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListStudiesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListStudiesResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17519 def list_project_location_study_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_trial_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18048 def list_project_location_study_trial_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1beta1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListOptimalTrialsResponse
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17837 def list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1beta1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/trials:listOptimalTrials', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListOptimalTrialsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_list_optimal_trials_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListOptimalTrialsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListOptimalTrialsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_study_trials(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrialsResponse
Lists the Trials associated with a Study.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17802 def list_project_location_study_trials(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/trials', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrialsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrialsResponse command.params['parent'] = parent unless parent.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18792 def list_project_location_tensorboard_experiment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiment_run_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19244 def list_project_location_tensorboard_experiment_run_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiment_run_time_series(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardTimeSeriesResponse
Lists TensorboardTimeSeries in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19475 def list_project_location_tensorboard_experiment_run_time_series(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/timeSeries', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardTimeSeriesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardTimeSeriesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiment_run_time_series_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19737 def list_project_location_tensorboard_experiment_run_time_series_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiment_runs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardRunsResponse
Lists TensorboardRuns in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19024 def list_project_location_tensorboard_experiment_runs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/runs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardRunsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardRunsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_experiments(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardExperimentsResponse
Lists TensorboardExperiments in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18572 def list_project_location_tensorboard_experiments(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/experiments', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardExperimentsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardExperimentsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboard_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19920 def list_project_location_tensorboard_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_tensorboards(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardsResponse
Lists Tensorboards in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18277 def list_project_location_tensorboards(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/tensorboards', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTensorboardsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_training_pipeline_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request. If the server
doesn't support this method, it returns UNIMPLEMENTED.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20296 def list_project_location_training_pipeline_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_training_pipelines(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrainingPipelinesResponse
Lists TrainingPipelines in a Location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20154 def list_project_location_training_pipelines(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/trainingPipelines', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrainingPipelinesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListTrainingPipelinesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudLocationListLocationsResponse
Lists information about the supported locations for this service.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 115 def list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}/locations', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudLocationListLocationsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudLocationListLocationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_publisher_models(parent, filter: nil, language_code: nil, order_by: nil, page_size: nil, page_token: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPublisherModelsResponse
Lists publisher models in Model Garden.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20427 def list_publisher_models(parent, filter: nil, language_code: nil, order_by: nil, page_size: nil, page_token: nil, view: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+parent}/models', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPublisherModelsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ListPublisherModelsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['languageCode'] = language_code unless language_code.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['view'] = view unless view.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#lookup_project_location_study(parent, google_cloud_aiplatform_v1beta1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study
Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17379 def lookup_project_location_study(parent, google_cloud_aiplatform_v1beta1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/studies:lookup', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LookupStudyRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_lookup_study_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Study command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#merge_project_location_model_version_aliases(name, google_cloud_aiplatform_v1beta1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Merges a set of aliases for a Model version.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13090 def merge_project_location_model_version_aliases(name, google_cloud_aiplatform_v1beta1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:mergeVersionAliases', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MergeVersionAliasesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_merge_version_aliases_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#mutate_project_location_endpoint_deployed_model(endpoint, google_cloud_aiplatform_v1beta1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates an existing deployed model. Updatable fields include
min_replica_count, max_replica_count, autoscaling_metric_specs,
disable_container_logging (v1 only), and enable_container_logging (v1beta1
only).
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3734 def mutate_project_location_endpoint_deployed_model(endpoint, google_cloud_aiplatform_v1beta1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:mutateDeployedModel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MutateDeployedModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_mutate_deployed_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#mutate_project_location_index_endpoint_deployed_index(index_endpoint, google_cloud_aiplatform_v1beta1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Update an existing DeployedIndex under an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9035 def mutate_project_location_index_endpoint_deployed_index(index_endpoint, google_cloud_aiplatform_v1beta1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+indexEndpoint}:mutateDeployedIndex', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DeployedIndex::Representation command.request_object = google_cloud_aiplatform_v1beta1_deployed_index_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_dataset(name, google_cloud_aiplatform_v1beta1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset
Updates a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1308 def patch_project_location_dataset(name, google_cloud_aiplatform_v1beta1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset::Representation command.request_object = google_cloud_aiplatform_v1beta1_dataset_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Dataset command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_endpoint(name, google_cloud_aiplatform_v1beta1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint
Updates an Endpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3770 def patch_project_location_endpoint(name, google_cloud_aiplatform_v1beta1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint::Representation command.request_object = google_cloud_aiplatform_v1beta1_endpoint_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Endpoint command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_feature_group(name, google_cloud_aiplatform_v1beta1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5142 def patch_project_location_feature_group(name, google_cloud_aiplatform_v1beta1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureGroup::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_group_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_feature_group_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5372 def patch_project_location_feature_group_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_feature_online_store(name, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5873 def patch_project_location_feature_online_store(name, google_cloud_aiplatform_v1beta1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureOnlineStore::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_online_store_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_feature_online_store_feature_view(name, google_cloud_aiplatform_v1beta1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6119 def patch_project_location_feature_online_store_feature_view(name, google_cloud_aiplatform_v1beta1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureView::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_view_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_featurestore(name, google_cloud_aiplatform_v1beta1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates the parameters of a single Featurestore.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6854 def patch_project_location_featurestore(name, google_cloud_aiplatform_v1beta1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Featurestore::Representation command.request_object = google_cloud_aiplatform_v1beta1_featurestore_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_featurestore_entity_type(name, google_cloud_aiplatform_v1beta1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType
Updates the parameters of a single EntityType.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7396 def patch_project_location_featurestore_entity_type(name, google_cloud_aiplatform_v1beta1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType::Representation command.request_object = google_cloud_aiplatform_v1beta1_entity_type_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EntityType command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_featurestore_entity_type_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature
Updates the parameters of a single Feature.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7852 def patch_project_location_featurestore_entity_type_feature(name, google_cloud_aiplatform_v1beta1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.request_object = google_cloud_aiplatform_v1beta1_feature_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Feature command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_index(name, google_cloud_aiplatform_v1beta1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates an Index.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9503 def patch_project_location_index(name, google_cloud_aiplatform_v1beta1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Index::Representation command.request_object = google_cloud_aiplatform_v1beta1_index_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_index_endpoint(name, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint
Updates an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9071 def patch_project_location_index_endpoint(name, google_cloud_aiplatform_v1beta1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint::Representation command.request_object = google_cloud_aiplatform_v1beta1_index_endpoint_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1IndexEndpoint command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_metadata_store_artifact(name, google_cloud_aiplatform_v1beta1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact
Updates a stored Artifact.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10123 def (name, google_cloud_aiplatform_v1beta1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact::Representation command.request_object = google_cloud_aiplatform_v1beta1_artifact_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Artifact command.params['name'] = name unless name.nil? command.query['allowMissing'] = allow_missing unless allow_missing.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_metadata_store_context(name, google_cloud_aiplatform_v1beta1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Updates a stored Context.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10696 def (name, google_cloud_aiplatform_v1beta1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context::Representation command.request_object = google_cloud_aiplatform_v1beta1_context_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context command.params['name'] = name unless name.nil? command.query['allowMissing'] = allow_missing unless allow_missing.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_metadata_store_execution(name, google_cloud_aiplatform_v1beta1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution
Updates a stored Execution.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11241 def (name, google_cloud_aiplatform_v1beta1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution::Representation command.request_object = google_cloud_aiplatform_v1beta1_execution_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Execution command.params['name'] = name unless name.nil? command.query['allowMissing'] = allow_missing unless allow_missing.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_model(name, google_cloud_aiplatform_v1beta1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model
Updates a Model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13126 def patch_project_location_model(name, google_cloud_aiplatform_v1beta1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model::Representation command.request_object = google_cloud_aiplatform_v1beta1_model_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Model command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12254 def patch_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ModelDeploymentMonitoringJob::Representation command.request_object = google_cloud_aiplatform_v1beta1_model_deployment_monitoring_job_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_persistent_resource(name, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a PersistentResource.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15152 def patch_project_location_persistent_resource(name, google_cloud_aiplatform_v1beta1_persistent_resource_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PersistentResource::Representation command.request_object = google_cloud_aiplatform_v1beta1_persistent_resource_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_schedule(name, google_cloud_aiplatform_v1beta1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Updates an active or paused Schedule. When the Schedule is updated, new runs will be scheduled starting from the updated next execution time after the update time based on the time_specification in the updated Schedule. All unstarted runs before the update time will be skipped while already created runs will NOT be paused or canceled.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16484 def patch_project_location_schedule(name, google_cloud_aiplatform_v1beta1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule::Representation command.request_object = google_cloud_aiplatform_v1beta1_schedule_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17025 def patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1beta1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SpecialistPool::Representation command.request_object = google_cloud_aiplatform_v1beta1_specialist_pool_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_tensorboard(name, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Updates a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18320 def patch_project_location_tensorboard(name, google_cloud_aiplatform_v1beta1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Tensorboard::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_tensorboard_experiment(name, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment
Updates a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18615 def patch_project_location_tensorboard_experiment(name, google_cloud_aiplatform_v1beta1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_experiment_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardExperiment command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_tensorboard_experiment_run(name, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun
Updates a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19067 def patch_project_location_tensorboard_experiment_run(name, google_cloud_aiplatform_v1beta1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_run_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardRun command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#patch_project_location_tensorboard_experiment_run_time_series(name, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries
Updates a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19517 def patch_project_location_tensorboard_experiment_run_time_series(name, google_cloud_aiplatform_v1beta1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1beta1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries::Representation command.request_object = google_cloud_aiplatform_v1beta1_tensorboard_time_series_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TensorboardTimeSeries command.params['name'] = name unless name.nil? command.query['updateMask'] = update_mask unless update_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#pause_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Pauses a ModelDeploymentMonitoringJob. If the job is running, the server makes a best effort to cancel the job. Will mark ModelDeploymentMonitoringJob.state to 'PAUSED'.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12292 def pause_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:pause', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PauseModelDeploymentMonitoringJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_pause_model_deployment_monitoring_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#pause_project_location_schedule(name, google_cloud_aiplatform_v1beta1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Pauses a Schedule. Will mark Schedule.state to 'PAUSED'. If the schedule is paused, no new runs will be created. Already created runs will NOT be paused or canceled.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16521 def pause_project_location_schedule(name, google_cloud_aiplatform_v1beta1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:pause', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PauseScheduleRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_pause_schedule_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#predict_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse
Perform an online prediction.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3805 def predict_project_location_endpoint(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:predict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#predict_project_location_publisher_model(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse
Perform an online prediction.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15993 def predict_project_location_publisher_model(endpoint, google_cloud_aiplatform_v1beta1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:predict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#purge_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1beta1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Artifacts.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10159 def (parent, google_cloud_aiplatform_v1beta1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/artifacts:purge', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PurgeArtifactsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_purge_artifacts_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#purge_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1beta1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Contexts.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10732 def (parent, google_cloud_aiplatform_v1beta1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/contexts:purge', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PurgeContextsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_purge_contexts_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#purge_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1beta1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Purges Executions.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11277 def (parent, google_cloud_aiplatform_v1beta1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/executions:purge', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PurgeExecutionsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_purge_executions_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QueryDeployedModelsResponse
List DeployedModels that have been deployed on this DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2883 def query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+deploymentResourcePool}:queryDeployedModels', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QueryDeployedModelsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1QueryDeployedModelsResponse command.params['deploymentResourcePool'] = deployment_resource_pool unless deployment_resource_pool.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#query_project_location_metadata_store_artifact_artifact_lineage_subgraph(artifact, filter: nil, max_hops: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10218 def (artifact, filter: nil, max_hops: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+artifact}:queryArtifactLineageSubgraph', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph command.params['artifact'] = artifact unless artifact.nil? command.query['filter'] = filter unless filter.nil? command.query['maxHops'] = max_hops unless max_hops.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#query_project_location_metadata_store_context_context_lineage_subgraph(context, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10770 def (context, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+context}:queryContextLineageSubgraph', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph command.params['context'] = context unless context.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#query_project_location_metadata_store_execution_execution_inputs_and_outputs(execution, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph
Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11312 def (execution, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+execution}:queryExecutionInputsAndOutputs', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1LineageSubgraph command.params['execution'] = execution unless execution.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#raw_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload. The response
includes the following HTTP headers: * X-Vertex-AI-Endpoint-Id: ID of the
Endpoint that served this prediction. * X-Vertex-AI-Deployed-Model-Id: ID of
the Endpoint's DeployedModel that served this prediction.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3842 def raw_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:rawPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleApiHttpBody command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#raw_project_location_publisher_model_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload. The response
includes the following HTTP headers: * X-Vertex-AI-Endpoint-Id: ID of the
Endpoint that served this prediction. * X-Vertex-AI-Deployed-Model-Id: ID of
the Endpoint's DeployedModel that served this prediction.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16030 def raw_project_location_publisher_model_predict(endpoint, google_cloud_aiplatform_v1beta1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:rawPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleApiHttpBody command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse
Reads Feature values of a specific entity of an EntityType. For reading feature values of multiple entities of an EntityType, please use StreamingReadFeatureValues.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7435 def read_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:readFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_index_endpoint_index_datapoints(index_endpoint, google_cloud_aiplatform_v1beta1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadIndexDatapointsResponse
Reads the datapoints/vectors of the given IDs. A maximum of 1000 datapoints can be retrieved in a batch.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9107 def read_project_location_index_endpoint_index_datapoints(index_endpoint, google_cloud_aiplatform_v1beta1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+indexEndpoint}:readIndexDatapoints', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadIndexDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_read_index_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadIndexDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadIndexDatapointsResponse command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_tensorboard_experiment_run_time_series(tensorboard_time_series, filter: nil, max_data_points: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardTimeSeriesDataResponse
Reads a TensorboardTimeSeries' data. By default, if the number of data points stored is less than 1000, all data is returned. Otherwise, 1000 data points is randomly selected from this time series and returned. This value can be changed by changing max_data_points, which can't be greater than 10k.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19560 def read_project_location_tensorboard_experiment_run_time_series(tensorboard_time_series, filter: nil, max_data_points: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+tensorboardTimeSeries}:read', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardTimeSeriesDataResponse command.params['tensorboardTimeSeries'] = tensorboard_time_series unless tensorboard_time_series.nil? command.query['filter'] = filter unless filter.nil? command.query['maxDataPoints'] = max_data_points unless max_data_points.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_tensorboard_experiment_run_time_series_blob_data(time_series, blob_ids: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardBlobDataResponse
Gets bytes of TensorboardBlobs. This is to allow reading blob data stored in consumer project's Cloud Storage bucket without users having to obtain Cloud Storage access permission.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19598 def read_project_location_tensorboard_experiment_run_time_series_blob_data(time_series, blob_ids: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+timeSeries}:readBlobData', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardBlobDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardBlobDataResponse command.params['timeSeries'] = time_series unless time_series.nil? command.query['blobIds'] = blob_ids unless blob_ids.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_tensorboard_size(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardSizeResponse
Returns the storage size for a given TensorBoard instance.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18354 def read_project_location_tensorboard_size(tensorboard, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+tensorboard}:readSize', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardSizeResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardSizeResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#read_project_location_tensorboard_usage(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponse
Returns a list of monthly active users for a given TensorBoard instance.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18385 def read_project_location_tensorboard_usage(tensorboard, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+tensorboard}:readUsage', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadTensorboardUsageResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#remove_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveDatapointsResponse
Remove Datapoints from an Index.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9538 def remove_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+index}:removeDatapoints', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_remove_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveDatapointsResponse command.params['index'] = index unless index.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#remove_project_location_metadata_store_context_context_children(context, google_cloud_aiplatform_v1beta1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveContextChildrenResponse
Remove a set of children contexts from a parent Context. If any of the child Contexts were NOT added to the parent Context, they are simply skipped.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10803 def (context, google_cloud_aiplatform_v1beta1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+context}:removeContextChildren', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveContextChildrenRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_remove_context_children_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveContextChildrenResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RemoveContextChildrenResponse command.params['context'] = context unless context.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#report_project_location_notebook_execution_job_event(name, google_cloud_aiplatform_v1beta1_report_execution_event_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportExecutionEventResponse
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14192 def report_project_location_notebook_execution_job_event(name, google_cloud_aiplatform_v1beta1_report_execution_event_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:reportEvent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportExecutionEventRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_report_execution_event_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportExecutionEventResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportExecutionEventResponse command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#report_project_location_notebook_runtime_event(name, google_cloud_aiplatform_v1beta1_report_runtime_event_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportRuntimeEventResponse
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14720 def report_project_location_notebook_runtime_event(name, google_cloud_aiplatform_v1beta1_report_runtime_event_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:reportEvent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportRuntimeEventRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_report_runtime_event_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportRuntimeEventResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReportRuntimeEventResponse command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Restores a dataset version.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2260 def restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+name}:restore', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#resume_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Resumes a paused ModelDeploymentMonitoringJob. It will start to run from next scheduled time. A deleted ModelDeploymentMonitoringJob can't be resumed.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12328 def resume_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1beta1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:resume', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ResumeModelDeploymentMonitoringJobRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_resume_model_deployment_monitoring_job_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#resume_project_location_schedule(name, google_cloud_aiplatform_v1beta1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty
Resumes a paused Schedule to start scheduling new runs. Will mark Schedule. state to 'ACTIVE'. Only paused Schedule can be resumed. When the Schedule is resumed, new runs will be scheduled starting from the next execution time after the current time based on the time_specification in the Schedule. If Schedule.catchUp is set up true, all missed runs will be scheduled for backfill first.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16560 def resume_project_location_schedule(name, google_cloud_aiplatform_v1beta1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:resume', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ResumeScheduleRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_resume_schedule_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#search_project_location_dataset_data_items(dataset, annotation_filters: nil, annotations_filter: nil, annotations_limit: nil, data_item_filter: nil, data_labeling_job: nil, field_mask: nil, order_by: nil, order_by_annotation_order_by: nil, order_by_annotation_saved_query: nil, order_by_data_item: nil, page_size: nil, page_token: nil, saved_query: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchDataItemsResponse
Searches DataItems in a Dataset.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1390 def search_project_location_dataset_data_items(dataset, annotation_filters: nil, annotations_filter: nil, annotations_limit: nil, data_item_filter: nil, data_labeling_job: nil, field_mask: nil, order_by: nil, order_by_annotation_order_by: nil, order_by_annotation_saved_query: nil, order_by_data_item: nil, page_size: nil, page_token: nil, saved_query: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+dataset}:searchDataItems', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchDataItemsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchDataItemsResponse command.params['dataset'] = dataset unless dataset.nil? command.query['annotationFilters'] = annotation_filters unless annotation_filters.nil? command.query['annotationsFilter'] = annotations_filter unless annotations_filter.nil? command.query['annotationsLimit'] = annotations_limit unless annotations_limit.nil? command.query['dataItemFilter'] = data_item_filter unless data_item_filter.nil? command.query['dataLabelingJob'] = data_labeling_job unless data_labeling_job.nil? command.query['fieldMask'] = field_mask unless field_mask.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['orderByAnnotation.orderBy'] = order_by_annotation_order_by unless order_by_annotation_order_by.nil? command.query['orderByAnnotation.savedQuery'] = order_by_annotation_saved_query unless order_by_annotation_saved_query.nil? command.query['orderByDataItem'] = order_by_data_item unless order_by_data_item.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['savedQuery'] = saved_query unless saved_query.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#search_project_location_feature_online_store_feature_view_nearest_entities(feature_view, google_cloud_aiplatform_v1beta1_search_nearest_entities_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchNearestEntitiesResponse
Search the nearest entities under a FeatureView. Search only works for indexable feature view; if a feature view isn't indexable, returns Invalid argument response.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6156 def search_project_location_feature_online_store_feature_view_nearest_entities(feature_view, google_cloud_aiplatform_v1beta1_search_nearest_entities_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+featureView}:searchNearestEntities', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchNearestEntitiesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_search_nearest_entities_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchNearestEntitiesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchNearestEntitiesResponse command.params['featureView'] = feature_view unless feature_view.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#search_project_location_featurestore_features(location, page_size: nil, page_token: nil, query: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchFeaturesResponse
Searches Features matching a query in a given project.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6930 def search_project_location_featurestore_features(location, page_size: nil, page_token: nil, query: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+location}/featurestores:searchFeatures', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchFeaturesResponse command.params['location'] = location unless location.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['query'] = query unless query.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#search_project_location_migratable_resources(parent, google_cloud_aiplatform_v1beta1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchMigratableResourcesResponse
Searches all of the resources in automl.googleapis.com, datalabeling. googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11868 def search_project_location_migratable_resources(parent, google_cloud_aiplatform_v1beta1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/migratableResources:search', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchMigratableResourcesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_search_migratable_resources_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchMigratableResourcesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchMigratableResourcesResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#search_project_location_model_deployment_monitoring_job_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job, google_cloud_aiplatform_v1beta1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesResponse
Searches Model Monitoring Statistics generated within a given time window.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12363 def search_project_location_model_deployment_monitoring_job_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job, google_cloud_aiplatform_v1beta1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+modelDeploymentMonitoringJob}:searchModelDeploymentMonitoringStatsAnomalies', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_search_model_deployment_monitoring_stats_anomalies_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SearchModelDeploymentMonitoringStatsAnomaliesResponse command.params['modelDeploymentMonitoringJob'] = model_deployment_monitoring_job unless model_deployment_monitoring_job.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#server_project_location_endpoint_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3877 def server_project_location_endpoint_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:serverStreamingPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_streaming_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#server_project_location_publisher_model_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16065 def server_project_location_publisher_model_streaming_predict(endpoint, google_cloud_aiplatform_v1beta1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:serverStreamingPredict', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_streaming_predict_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_location_endpoint_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and
PERMISSION_DENIED errors.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3914 def set_project_location_endpoint_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_location_featurestore_entity_type_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and
PERMISSION_DENIED errors.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7472 def set_project_location_featurestore_entity_type_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_location_featurestore_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and
PERMISSION_DENIED errors.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6968 def set_project_location_featurestore_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_location_model_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and
PERMISSION_DENIED errors.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13164 def set_project_location_model_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#set_project_location_notebook_runtime_template_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1Policy
Sets the access control policy on the specified resource. Replaces any
existing policy. Can return NOT_FOUND, INVALID_ARGUMENT, and
PERMISSION_DENIED errors.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14436 def set_project_location_notebook_runtime_template_iam_policy(resource, google_iam_v1_set_iam_policy_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1Policy command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#start_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Starts a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14756 def start_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:start', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StartNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_start_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stop_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial
Stops a Trial.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17871 def stop_project_location_study_trial(name, google_cloud_aiplatform_v1beta1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:stop', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StopTrialRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_stop_trial_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3948 def stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+model}:streamGenerateContent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16099 def stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1beta1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+model}:streamGenerateContent', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1beta1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse
Reads Feature values for multiple entities. Depending on their size, data for different entities may be broken up across multiple responses.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7509 def streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1beta1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:streamingReadFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1StreamingReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_streaming_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReadFeatureValuesResponse command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#suggest_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier. Returns a long-running operation associated with the generation of Trial suggestions. When this long-running operation succeeds, it will contain a SuggestTrialsResponse.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17908 def suggest_project_location_study_trial(parent, google_cloud_aiplatform_v1beta1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/trials:suggest', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SuggestTrialsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_suggest_trials_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#sync_project_location_feature_online_store_feature_view(feature_view, google_cloud_aiplatform_v1beta1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SyncFeatureViewResponse
Triggers on-demand sync for the FeatureView.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6190 def sync_project_location_feature_online_store_feature_view(feature_view, google_cloud_aiplatform_v1beta1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+featureView}:sync', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SyncFeatureViewRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_sync_feature_view_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SyncFeatureViewResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SyncFeatureViewResponse command.params['featureView'] = feature_view unless feature_view.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_location_endpoint_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of permissions, not a
NOT_FOUND error. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3990 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['permissions'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_location_featurestore_entity_type_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of permissions, not a
NOT_FOUND error. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7551 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['permissions'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_location_featurestore_iam_permissions(resource, google_iam_v1_test_iam_permissions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of permissions, not a
NOT_FOUND error. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7007 def (resource, = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:testIamPermissions', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsRequest::Representation command.request_object = command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_location_model_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of permissions, not a
NOT_FOUND error. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13206 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['permissions'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#test_project_location_notebook_runtime_template_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource. If the
resource does not exist, this will return an empty set of permissions, not a
NOT_FOUND error. Note: This operation is designed to be used for building
permission-aware UIs and command-line tools, not for authorization checking.
This operation may "fail open" without warning.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14478 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleIamV1TestIamPermissionsResponse command.params['resource'] = resource unless resource.nil? command.query['permissions'] = unless .nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#undeploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4024 def undeploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1beta1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+endpoint}:undeployModel', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UndeployModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_undeploy_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#undeploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9143 def undeploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1beta1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+indexEndpoint}:undeployIndex', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UndeployIndexRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_undeploy_index_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#update_project_location_model_explanation_dataset(model, google_cloud_aiplatform_v1beta1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Incrementally update the dataset used for an examples model.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13239 def update_project_location_model_explanation_dataset(model, google_cloud_aiplatform_v1beta1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+model}:updateExplanationDataset', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpdateExplanationDatasetRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_update_explanation_dataset_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Upgrades a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14792 def upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1beta1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:upgrade', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpgradeNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_upgrade_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#upload_project_location_model(parent, google_cloud_aiplatform_v1beta1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Uploads a Model artifact into Vertex AI.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13273 def upload_project_location_model(parent, google_cloud_aiplatform_v1beta1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+parent}/models:upload', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UploadModelRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_upload_model_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#upsert_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpsertDatapointsResponse
Add/update Datapoints into an Index.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9572 def upsert_project_location_index_datapoints(index, google_cloud_aiplatform_v1beta1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+index}:upsertDatapoints', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpsertDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_upsert_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpsertDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1UpsertDatapointsResponse command.params['index'] = index unless index.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_custom_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 681 def wait_project_location_custom_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_data_labeling_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1052 def wait_project_location_data_labeling_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_dataset_annotation_spec_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1619 def wait_project_location_dataset_annotation_spec_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_dataset_data_item_annotation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 1897 def wait_project_location_dataset_data_item_annotation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_dataset_data_item_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2080 def wait_project_location_dataset_data_item_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_dataset_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2442 def wait_project_location_dataset_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_dataset_saved_query_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 2703 def wait_project_location_dataset_saved_query_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_deployment_resource_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3067 def wait_project_location_deployment_resource_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_edge_device_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 3250 def wait_project_location_edge_device_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4208 def wait_project_location_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_example_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4391 def wait_project_location_example_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_extension_controller_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4574 def wait_project_location_extension_controller_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_extension_deployment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4757 def wait_project_location_extension_deployment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_extension_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 4940 def wait_project_location_extension_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_feature_group_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5520 def wait_project_location_feature_group_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_feature_group_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 5666 def wait_project_location_feature_group_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_feature_online_store_feature_view_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6424 def wait_project_location_feature_online_store_feature_view_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_feature_online_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 6570 def wait_project_location_feature_online_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_featurestore_entity_type_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8037 def wait_project_location_featurestore_entity_type_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_featurestore_entity_type_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8220 def wait_project_location_featurestore_entity_type_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_featurestore_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8403 def wait_project_location_featurestore_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_hyperparameter_tuning_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 8781 def wait_project_location_hyperparameter_tuning_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_index_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9327 def wait_project_location_index_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_index_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 9756 def wait_project_location_index_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_artifact_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10402 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_context_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 10987 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_execution_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11494 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 11797 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_migratable_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12052 def wait_project_location_migratable_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_model_deployment_monitoring_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12547 def wait_project_location_model_deployment_monitoring_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_model_evaluation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13567 def wait_project_location_model_evaluation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_model_monitor_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 12730 def wait_project_location_model_monitor_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_model_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 13863 def wait_project_location_model_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 14976 def wait_project_location_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_persistent_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15337 def wait_project_location_persistent_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_pipeline_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 15813 def wait_project_location_pipeline_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_reasoning_engine_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16283 def wait_project_location_reasoning_engine_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_schedule_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 16744 def wait_project_location_schedule_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_specialist_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17210 def wait_project_location_specialist_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 17563 def wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18092 def wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18836 def wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19288 def wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_tensorboard_experiment_run_time_series_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19781 def wait_project_location_tensorboard_experiment_run_time_series_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19964 def wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a
specified timeout, returning the latest state. If the operation is already
done, the latest state is immediately returned. If the timeout specified is
greater than the default HTTP/RPC timeout, the HTTP/RPC timeout is used. If
the server does not support this method, it returns google.rpc.Code.
UNIMPLEMENTED. Note that this method is on a best-effort basis. It may return
the latest state before the specified timeout (including immediately), meaning
even an immediate response is no guarantee that the operation is done.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 20340 def wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteFeatureValuesResponse
Writes Feature values of one or more entities of an EntityType. The Feature values are merged into existing entities if any. The Feature values to be written must have timestamp within the online storage retention.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 7588 def write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1beta1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+entityType}:writeFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_write_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteFeatureValuesResponse command.params['entityType'] = entity_type unless entity_type.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1beta1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataResponse
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's. If any data fail to be ingested, an error is returned.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 18652 def write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1beta1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+tensorboardExperiment}:write', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_write_tensorboard_experiment_data_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardExperimentDataResponse command.params['tensorboardExperiment'] = tensorboard_experiment unless tensorboard_experiment.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1beta1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardRunDataResponse
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun. If any data fail to be ingested, an error is returned.
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# File 'lib/google/apis/aiplatform_v1beta1/service.rb', line 19104 def write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1beta1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1beta1/{+tensorboardRun}:write', ) command.request_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardRunDataRequest::Representation command.request_object = google_cloud_aiplatform_v1beta1_write_tensorboard_run_data_request_object command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardRunDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1WriteTensorboardRunDataResponse command.params['tensorboardRun'] = tensorboard_run unless tensorboard_run.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |