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.
Instance Attribute Summary collapse
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#key ⇒ String
API key.
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#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_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_experiment_run_time_series_create(parent, runs_id, 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_time_series_read(tensorboard, experiments_id, runs_id, 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_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_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_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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#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.
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#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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#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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#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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#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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#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.
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#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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#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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#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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#create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1beta1_pipeline_job_object = nil, pipeline_job_id: 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_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_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_execution(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleLongrunningOperation
Deletes an Execution.
-
#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_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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudLocationLocation
Gets information about a location.
-
#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.
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#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.
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#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.
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#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.
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#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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#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.
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#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.
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#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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#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_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.
-
#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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#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.
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#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_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Context
Retrieves a specific Context.
-
#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_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1MetadataSchema
Retrieves a specific MetadataSchema.
-
#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.
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#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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#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.
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#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.
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#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.
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#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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#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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#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.
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#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.
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#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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#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.
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#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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#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_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1Schedule
Gets a Schedule.
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#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.
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#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.
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#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
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#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.
-
#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.
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#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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#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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#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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#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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#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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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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.
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#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 46 def initialize super('https://aiplatform.googleapis.com/', '', 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 39 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 44 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 9879 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 9916 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 10282 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 16047 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 13405 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 7257 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 6242 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 10724 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 12494 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_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 17242 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_experiment_run_time_series_create(parent, runs_id, 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 17696 def batch_project_location_tensorboard_experiment_run_time_series_create(parent, runs_id, 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}/runs/{runsId}/timeSeries: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.params['runsId'] = runs_id unless runs_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 |
#batch_project_location_tensorboard_experiment_run_time_series_read(tensorboard, experiments_id, runs_id, 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 17742 def batch_project_location_tensorboard_experiment_run_time_series_read(tensorboard, experiments_id, runs_id, time_series: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1beta1/{+tensorboard}/experiments/{experimentsId}/runs/{runsId}/timeSeries:batchRead', ) command.response_representation = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1BatchReadTensorboardTimeSeriesDataResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.params['experimentsId'] = experiments_id unless experiments_id.nil? command.params['runsId'] = runs_id unless runs_id.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 154 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 346 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 534 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 712 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 905 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 1472 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 1750 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 1933 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 2295 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 2556 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 2920 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 3103 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 3889 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_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 4072 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 4255 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 4438 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 7517 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 7700 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 7883 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 8070 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 8261 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 8807 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 9236 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_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 10800 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 11295 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 12315 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 11478 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 12611 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 12795 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 13688 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 14049 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 14234 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 14448 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_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 15049 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 15515 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 15868 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 16397 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 17062 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 17514 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 18092 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 18275 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 18460 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 18651 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 16083 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 16117 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 |
#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 11660 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 3281 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 14626 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 189 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 381 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 746 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 1083 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 2111 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 2734 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 3325 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 4621 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 4823 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 5338 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 5551 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 6281 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 6680 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 7294 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 8104 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 8985 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 8439 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 9422 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 9573 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 9959 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 10325 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 10612 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 10979 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 12829 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 13121 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 13870 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, 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 14273 def create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1beta1_pipeline_job_object = nil, pipeline_job_id: 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['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 14766 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 15331 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 15693 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 16151 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 16575 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 16830 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 17281 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 17782 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 18495 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 223 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 414 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 567 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 779 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 938 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 1116 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 1505 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 1783 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 1966 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 2145 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 2328 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 2472 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 2589 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 2768 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 2953 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 3136 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 3359 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 3922 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_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 4105 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 4288 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 4471 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 4658 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 4859 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 5042 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 5188 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 5377 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 5587 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 5946 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 6092 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 6320 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 6718 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 7330 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 7550 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 6758 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 7733 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 7916 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 8138 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 8294 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 9019 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 8472 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 8840 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 9269 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 9459 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 9612 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_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 10001 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_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 10364 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_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 10833 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 11694 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 11013 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 11328 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 12348 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 11511 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 12644 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 11728 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 12862 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 13440 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 13156 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 13721 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 13904 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 14082 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 14307 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 14481 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_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 14799 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 15082 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 15228 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 15368 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 15548 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 15726 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 15901 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 16184 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 16430 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 16608 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 16865 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 17095 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 17316 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 17547 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 17817 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 18125 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 18308 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 18528 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 18684 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 3391 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 8506 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 |
#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 3428 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 1148 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 6793 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 11763 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 17850 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 5619 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 8540 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_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 13051 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 13476 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 |
#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 73 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 254 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 445 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 598 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 810 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 969 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 1182 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 1434 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 1536 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 1814 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 1997 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 2179 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 2359 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 2620 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 2800 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 2984 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 3167 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 3461 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 3505 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 3953 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_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 4136 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 4319 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 4502 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 4689 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 4891 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 5073 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 5219 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 5408 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 5653 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 5858 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 5977 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 6123 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 6351 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 6826 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 7362 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 7581 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 6870 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 7764 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 6385 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 7947 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 8170 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 8325 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 9050 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 8573 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 8871 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 9300 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 9491 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 9645 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_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 10035 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_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 10397 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_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 10647 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_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 10864 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 11802 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 11045 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 11359 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 12199 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 12379 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 12528 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 11846 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 11542 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 12675 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 12893 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 12976 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 13510 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 13188 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 13232 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 13752 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 13936 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 14113 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 14338 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 14512 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_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 14830 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 15113 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 15259 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 15400 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 15579 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 15757 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 15932 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 16215 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 16461 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 16639 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 16897 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 17126 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 17348 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 17578 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 17884 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 18156 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 18339 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 18559 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 18715 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 18833 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 1215 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 6916 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 12231 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 304 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 635 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 493 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 1006 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 863 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 1573 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 1851 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 1708 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 2034 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 1660 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 2222 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 2396 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 2514 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 2657 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 1266 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 3021 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 2839 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 3204 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 3990 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 3554 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_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 4173 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 4356 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 4539 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 5110 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 4956 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 5256 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 4742 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 5909 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 6014 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 5709 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 6160 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 5463 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 7618 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 7427 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 7801 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 6975 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 7984 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 6443 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 8362 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 8220 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 8908 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 8623 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 9337 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 9090 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_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 9709 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_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 10099 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_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 10461 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 10688 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_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 9530 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 10901 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 11396 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 11092 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 12416 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 12570 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 12274 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 11579 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 12712 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 11945 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 11894 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 13013 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 12941 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 13289 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 13576 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 13789 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 14150 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 13973 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 14549 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 14406 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_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 15150 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 14892 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 15296 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 15616 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 15439 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 15794 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 15969 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 16498 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 16287 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 16252 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 17163 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 17615 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 17931 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 18193 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 17395 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 16943 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 18376 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 16685 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 18752 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 18610 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 113 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 18883 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 15829 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 11983 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 3594 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 8660 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 1306 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 3630 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 4785 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 5006 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 5507 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 5753 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 6488 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 7030 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 7477 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 9128 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 8696 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 9748 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 10138 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 10500 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 12019 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 11147 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 14009 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 14934 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 15475 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 16728 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 16986 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 17438 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 17973 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 11185 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 14971 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 3665 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 14660 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 9784 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 10174 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 10536 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 2881 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 9843 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 10212 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 10571 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 3702 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 14697 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 7069 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 8732 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 18016 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 18054 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 16762 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 16793 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 9163 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 10245 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 13085 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 13613 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 2258 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 11221 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 15010 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 1388 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 5790 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 6564 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 10761 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 11256 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 3737 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 14732 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 3774 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 7106 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 6602 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 12057 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 13329 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 13649 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 16321 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 |
#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 7143 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 16358 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 5824 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 3816 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 7185 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 6641 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 12099 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 13371 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 3850 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 8768 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 12132 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 |
#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 12166 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 9197 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 679 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 1050 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 1617 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 1895 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 2078 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 2440 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 2701 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 3065 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 3248 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 4034 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_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 4217 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 4400 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 4583 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 5154 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 5300 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 6058 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 6204 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 7662 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 7845 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 8028 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 8406 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 8952 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 9381 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_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 10945 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 11440 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 12460 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 11623 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 12756 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 13833 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 14194 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 14593 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_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 15194 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 15660 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 16013 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 16542 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 17207 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 17659 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 18237 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 18420 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 18796 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 7222 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 17023 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 17475 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 |