Class: Google::Apis::AiplatformV1::AiplatformService
- Inherits:
-
Core::BaseService
- Object
- Core::BaseService
- Google::Apis::AiplatformV1::AiplatformService
- Defined in:
- lib/google/apis/aiplatform_v1/service.rb
Overview
Vertex AI API
Train high-quality custom machine learning models with minimal machine learning expertise and effort.
Constant Summary collapse
- DEFAULT_ENDPOINT_TEMPLATE =
"https://aiplatform.$UNIVERSE_DOMAIN$/"
Instance Attribute Summary collapse
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
-
#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_v1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse
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_v1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextChildrenResponse
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_v1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddExecutionEventsResponse
Adds Events to the specified Execution.
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#add_project_location_study_trial_trial_measurement(trial_name, google_cloud_aiplatform_v1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Adds a measurement of the objective metrics to a Trial.
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#assign_project_location_notebook_runtime(parent, google_cloud_aiplatform_v1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Batch reads Feature values from a Featurestore.
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#batch_project_location_migratable_resource_migrate(parent, google_cloud_aiplatform_v1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse
Imports a list of externally generated EvaluatedAnnotations.
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#batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
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#batch_project_location_tensorboard_experiment_run_create(parent, google_cloud_aiplatform_v1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse
Batch create TensorboardRuns.
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#batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse
Reads multiple TensorboardTimeSeries' data.
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#cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Cancels a BatchPredictionJob.
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#cancel_project_location_custom_job(name, google_cloud_aiplatform_v1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_data_labeling_job(name, google_cloud_aiplatform_v1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_hyperparameter_tuning_job(name, google_cloud_aiplatform_v1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_nas_job(name, google_cloud_aiplatform_v1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Cancels a NasJob.
-
#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_pipeline_job(name, google_cloud_aiplatform_v1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
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#cancel_project_location_training_pipeline(name, google_cloud_aiplatform_v1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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_v1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Checks whether a Trial should stop or not.
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#complete_project_location_study_trial(name, google_cloud_aiplatform_v1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Marks a Trial as complete.
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#compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse
Return a list of tokens based on the input text.
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#compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse
Return a list of tokens based on the input text.
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#copy_project_location_model(parent, google_cloud_aiplatform_v1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse
Perform a token counting.
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#count_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse
Perform a token counting.
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#create_project_location_batch_prediction_job(parent, google_cloud_aiplatform_v1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob
Creates a BatchPredictionJob.
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#create_project_location_custom_job(parent, google_cloud_aiplatform_v1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob
Creates a CustomJob.
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#create_project_location_data_labeling_job(parent, google_cloud_aiplatform_v1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob
Creates a DataLabelingJob.
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#create_project_location_dataset(parent, google_cloud_aiplatform_v1_dataset_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a Dataset.
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#create_project_location_dataset_dataset_version(parent, google_cloud_aiplatform_v1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Create a version from a Dataset.
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#create_project_location_deployment_resource_pool(parent, google_cloud_aiplatform_v1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Create a DeploymentResourcePool.
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#create_project_location_endpoint(parent, google_cloud_aiplatform_v1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an Endpoint.
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#create_project_location_feature_group(parent, google_cloud_aiplatform_v1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new Feature in a given FeatureGroup.
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#create_project_location_feature_online_store(parent, google_cloud_aiplatform_v1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_feature_view_object = nil, feature_view_id: nil, run_sync_immediately: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new FeatureView in a given FeatureOnlineStore.
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#create_project_location_featurestore(parent, google_cloud_aiplatform_v1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new EntityType in a given Featurestore.
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#create_project_location_featurestore_entity_type_feature(parent, google_cloud_aiplatform_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new Feature in a given EntityType.
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#create_project_location_hyperparameter_tuning_job(parent, google_cloud_aiplatform_v1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob
Creates a HyperparameterTuningJob.
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#create_project_location_index(parent, google_cloud_aiplatform_v1_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an Index.
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#create_project_location_index_endpoint(parent, google_cloud_aiplatform_v1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an IndexEndpoint.
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#create_project_location_metadata_store(parent, google_cloud_aiplatform_v1_metadata_store_object = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Initializes a MetadataStore, including allocation of resources.
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#create_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Creates an Artifact associated with a MetadataStore.
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#create_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Creates a Context associated with a MetadataStore.
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#create_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Creates an Execution associated with a MetadataStore.
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#create_project_location_metadata_store_metadata_schema(parent, google_cloud_aiplatform_v1_metadata_schema_object = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema
Creates a MetadataSchema.
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#create_project_location_model_deployment_monitoring_job(parent, google_cloud_aiplatform_v1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob
Creates a ModelDeploymentMonitoringJob.
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#create_project_location_nas_job(parent, google_cloud_aiplatform_v1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob
Creates a NasJob.
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#create_project_location_notebook_runtime_template(parent, google_cloud_aiplatform_v1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a NotebookRuntimeTemplate.
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#create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1_pipeline_job_object = nil, pipeline_job_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
Creates a PipelineJob.
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#create_project_location_schedule(parent, google_cloud_aiplatform_v1_schedule_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule
Creates a Schedule.
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#create_project_location_specialist_pool(parent, google_cloud_aiplatform_v1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a SpecialistPool.
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#create_project_location_study(parent, google_cloud_aiplatform_v1_study_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study
Creates a Study.
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#create_project_location_study_trial(parent, google_cloud_aiplatform_v1_trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Adds a user provided Trial to a Study.
-
#create_project_location_tensorboard(parent, google_cloud_aiplatform_v1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a Tensorboard.
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#create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Creates a TensorboardExperiment.
-
#create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Creates a TensorboardRun.
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#create_project_location_tensorboard_experiment_run_time_series(parent, google_cloud_aiplatform_v1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Creates a TensorboardTimeSeries.
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#create_project_location_training_pipeline(parent, google_cloud_aiplatform_v1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline
Creates a TrainingPipeline.
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#delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a BatchPredictionJob.
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#delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a CustomJob.
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#delete_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a DataLabelingJob.
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#delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Dataset.
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#delete_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Dataset version.
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#delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a SavedQuery.
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#delete_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Delete a DeploymentResourcePool.
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#delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Endpoint.
-
#delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureGroup.
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#delete_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single Feature.
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#delete_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_feature_online_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureOnlineStore.
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#delete_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureView.
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#delete_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single Featurestore.
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#delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single EntityType.
-
#delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single Feature.
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#delete_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Delete Feature values from Featurestore.
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#delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
-
#delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Index.
-
#delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an IndexEndpoint.
-
#delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_metadata_store(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
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#delete_project_location_metadata_store_artifact(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Artifact.
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#delete_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store_context(name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a stored Context.
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#delete_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_metadata_store_execution(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Execution.
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#delete_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Model.
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#delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a ModelDeploymentMonitoringJob.
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#delete_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
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#delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Model version.
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#delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NasJob.
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#delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntime.
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#delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntimeTemplate.
-
#delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a PipelineJob.
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#delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Schedule.
-
#delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a SpecialistPool as well as all Specialists in the pool.
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#delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a Study.
-
#delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a Trial.
-
#delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Tensorboard.
-
#delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardExperiment.
-
#delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardRun.
-
#delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TrainingPipeline.
-
#delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deploys a Model into this Endpoint, creating a DeployedModel within it.
-
#deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
-
#direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectPredictResponse
Perform an unary online prediction request for Vertex first-party products and frameworks.
-
#direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectRawPredictResponse
Perform an online prediction request through gRPC.
-
#explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainResponse
Perform an online explanation.
-
#export_project_location_dataset(name, google_cloud_aiplatform_v1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports data from a Dataset.
-
#export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports Feature values from all the entities of a target EntityType.
-
#export_project_location_model(name, google_cloud_aiplatform_v1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse
Exports a TensorboardTimeSeries' data.
-
#fetch_project_location_feature_online_store_feature_view_feature_values(feature_view, google_cloud_aiplatform_v1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FetchFeatureValuesResponse
Fetch feature values under a FeatureView.
-
#find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsResponse
Finds the nearest neighbors of each vector within the request.
-
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudLocationLocation
Gets information about a location.
-
#get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob
Gets a BatchPredictionJob.
-
#get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob
Gets a CustomJob.
-
#get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob
Gets a DataLabelingJob.
-
#get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset
Gets a Dataset.
-
#get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AnnotationSpec
Gets an AnnotationSpec.
-
#get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DatasetVersion
Gets a Dataset version.
-
#get_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeploymentResourcePool
Get a DeploymentResourcePool.
-
#get_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint
Gets an Endpoint.
-
#get_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup
Gets details of a single FeatureGroup.
-
#get_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature
Gets details of a single Feature.
-
#get_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore
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::AiplatformV1::GoogleCloudAiplatformV1FeatureView
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::AiplatformV1::GoogleCloudAiplatformV1FeatureViewSync
Gets details of a single FeatureViewSync.
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#get_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
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#get_project_location_featurestore(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore
Gets details of a single Featurestore.
-
#get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType
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::AiplatformV1::GoogleCloudAiplatformV1Feature
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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob
Gets a HyperparameterTuningJob.
-
#get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Index
Gets an Index.
-
#get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint
Gets an IndexEndpoint.
-
#get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataStore
Retrieves a specific MetadataStore.
-
#get_project_location_metadata_store_artifact(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Retrieves a specific Artifact.
-
#get_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Retrieves a specific Context.
-
#get_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_execution(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Retrieves a specific Execution.
-
#get_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema
Retrieves a specific MetadataSchema.
-
#get_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Gets a Model.
-
#get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
-
#get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
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::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationSlice
Gets a ModelEvaluationSlice.
-
#get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob
Gets a NasJob.
-
#get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasTrialDetail
Gets a NasTrialDetail.
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#get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntime
Gets a NotebookRuntime.
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#get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate
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::AiplatformV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Schedule
Gets a Schedule.
-
#get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool
Gets a SpecialistPool.
-
#get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Study
Gets a Study by name.
-
#get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Trial
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Tensorboard
Gets a Tensorboard.
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#get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
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::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Gets a TensorboardRun.
-
#get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Gets a TensorboardTimeSeries.
-
#get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline
Gets a TrainingPipeline.
-
#get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PublisherModel
Gets a Model Garden publisher model.
-
#import_project_location_dataset(name, google_cloud_aiplatform_v1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Imports data into a Dataset.
-
#import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Imports Feature values into the Featurestore from a source storage.
-
#import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
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::AiplatformV1::GoogleCloudAiplatformV1ListBatchPredictionJobsResponse
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse
Lists CustomJobs in a Location.
-
#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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDataLabelingJobsResponse
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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDataItemsResponse
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::AiplatformV1::GoogleCloudAiplatformV1ListDatasetVersionsResponse
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDatasetsResponse
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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse
List DeploymentResourcePools in a location.
-
#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::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_endpoints(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::AiplatformV1::GoogleCloudAiplatformV1ListEndpointsResponse
Lists Endpoints in a Location.
-
#list_project_location_feature_group_feature_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse
Lists Features in a given FeatureGroup.
-
#list_project_location_feature_group_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureGroupsResponse
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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewSyncsResponse
Lists FeatureViewSyncs in a given FeatureView.
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#list_project_location_feature_online_store_feature_view_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_online_store_feature_views(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewsResponse
Lists FeatureViews in a given FeatureOnlineStore.
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#list_project_location_feature_online_store_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_feature_online_stores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse
Lists FeatureOnlineStores in a given project and location.
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#list_project_location_featurestore_entity_type_feature_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_featurestore_entity_type_features(parent, filter: nil, latest_stats_count: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse
Lists Features in a given EntityType.
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#list_project_location_featurestore_entity_type_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#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::AiplatformV1::GoogleCloudAiplatformV1ListEntityTypesResponse
Lists EntityTypes in a given Featurestore.
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#list_project_location_featurestore_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_featurestores(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturestoresResponse
Lists Featurestores in a given project and location.
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#list_project_location_hyperparameter_tuning_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#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::AiplatformV1::GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse
Lists HyperparameterTuningJobs in a Location.
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#list_project_location_index_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_index_endpoints(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexEndpointsResponse
Lists IndexEndpoints in a Location.
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#list_project_location_index_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_indexes(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexesResponse
Lists Indexes in a Location.
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#list_project_location_metadata_store_artifact_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_artifacts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListArtifactsResponse
Lists Artifacts in the MetadataStore.
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#list_project_location_metadata_store_context_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_contexts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListContextsResponse
Lists Contexts on the MetadataStore.
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#list_project_location_metadata_store_execution_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_metadata_store_executions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListExecutionsResponse
Lists Executions in the MetadataStore.
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#list_project_location_metadata_store_metadata_schemas(parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataSchemasResponse
Lists MetadataSchemas.
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#list_project_location_metadata_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_metadata_stores(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataStoresResponse
Lists MetadataStores for a Location.
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#list_project_location_migratable_resource_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_deployment_monitoring_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_deployment_monitoring_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse
Lists ModelDeploymentMonitoringJobs in a Location.
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#list_project_location_model_evaluation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_evaluation_slices(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse
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::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationsResponse
Lists ModelEvaluations in a Model.
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#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::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_model_versions(name, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelVersionsResponse
Lists versions of the specified model.
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#list_project_location_models(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::AiplatformV1::GoogleCloudAiplatformV1ListModelsResponse
Lists Models in a Location.
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#list_project_location_nas_job_nas_trial_details(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasTrialDetailsResponse
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::AiplatformV1::GoogleCloudAiplatformV1ListNasJobsResponse
Lists NasJobs in a Location.
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#list_project_location_notebook_runtime_templates(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse
Lists NotebookRuntimeTemplates in a Location.
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#list_project_location_notebook_runtimes(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimesResponse
Lists NotebookRuntimes in a Location.
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#list_project_location_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_pipeline_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_pipeline_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListPipelineJobsResponse
Lists PipelineJobs in a Location.
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#list_project_location_schedule_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_schedules(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSchedulesResponse
Lists Schedules in a Location.
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#list_project_location_specialist_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_specialist_pools(parent, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSpecialistPoolsResponse
Lists SpecialistPools in a Location.
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#list_project_location_studies(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListStudiesResponse
Lists all the studies in a region for an associated project.
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#list_project_location_study_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsResponse
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
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#list_project_location_study_trials(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrialsResponse
Lists the Trials associated with a Study.
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#list_project_location_tensorboard_experiment_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#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::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse
Lists TensorboardTimeSeries in a Location.
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#list_project_location_tensorboard_experiment_run_time_series_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardRunsResponse
Lists TensorboardRuns in a Location.
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#list_project_location_tensorboard_experiments(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardExperimentsResponse
Lists TensorboardExperiments in a Location.
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#list_project_location_tensorboard_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardsResponse
Lists Tensorboards in a Location.
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#list_project_location_training_pipeline_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTrainingPipelinesResponse
Lists TrainingPipelines in a Location.
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#list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudLocationListLocationsResponse
Lists information about the supported locations for this service.
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#lookup_project_location_study(parent, google_cloud_aiplatform_v1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study
Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
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#merge_project_location_model_version_aliases(name, google_cloud_aiplatform_v1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Merges a set of aliases for a Model version.
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#mutate_project_location_endpoint_deployed_model(endpoint, google_cloud_aiplatform_v1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates an existing deployed model.
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#mutate_project_location_index_endpoint_deployed_index(index_endpoint, google_cloud_aiplatform_v1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Update an existing DeployedIndex under an IndexEndpoint.
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#patch_project_location_dataset(name, google_cloud_aiplatform_v1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset
Updates a Dataset.
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#patch_project_location_endpoint(name, google_cloud_aiplatform_v1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint
Updates an Endpoint.
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#patch_project_location_feature_group(name, google_cloud_aiplatform_v1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureGroup.
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#patch_project_location_feature_group_feature(name, google_cloud_aiplatform_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single Feature.
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#patch_project_location_feature_online_store(name, google_cloud_aiplatform_v1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureOnlineStore.
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#patch_project_location_feature_online_store_feature_view(name, google_cloud_aiplatform_v1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureView.
-
#patch_project_location_featurestore(name, google_cloud_aiplatform_v1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single Featurestore.
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#patch_project_location_featurestore_entity_type(name, google_cloud_aiplatform_v1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType
Updates the parameters of a single EntityType.
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#patch_project_location_featurestore_entity_type_feature(name, google_cloud_aiplatform_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature
Updates the parameters of a single Feature.
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#patch_project_location_index(name, google_cloud_aiplatform_v1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates an Index.
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#patch_project_location_index_endpoint(name, google_cloud_aiplatform_v1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint
Updates an IndexEndpoint.
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#patch_project_location_metadata_store_artifact(name, google_cloud_aiplatform_v1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Updates a stored Artifact.
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#patch_project_location_metadata_store_context(name, google_cloud_aiplatform_v1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Updates a stored Context.
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#patch_project_location_metadata_store_execution(name, google_cloud_aiplatform_v1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Updates a stored Execution.
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#patch_project_location_model(name, google_cloud_aiplatform_v1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Updates a Model.
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#patch_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a ModelDeploymentMonitoringJob.
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#patch_project_location_schedule(name, google_cloud_aiplatform_v1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule
Updates an active or paused Schedule.
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#patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a SpecialistPool.
-
#patch_project_location_tensorboard(name, google_cloud_aiplatform_v1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a Tensorboard.
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#patch_project_location_tensorboard_experiment(name, google_cloud_aiplatform_v1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Updates a TensorboardExperiment.
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#patch_project_location_tensorboard_experiment_run(name, google_cloud_aiplatform_v1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Updates a TensorboardRun.
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#patch_project_location_tensorboard_experiment_run_time_series(name, google_cloud_aiplatform_v1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Updates a TensorboardTimeSeries.
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#pause_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Pauses a ModelDeploymentMonitoringJob.
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#pause_project_location_schedule(name, google_cloud_aiplatform_v1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Pauses a Schedule.
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#predict_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse
Perform an online prediction.
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#predict_project_location_publisher_model(endpoint, google_cloud_aiplatform_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse
Perform an online prediction.
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#purge_project_location_metadata_store_artifact(parent, google_cloud_aiplatform_v1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Artifacts.
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#purge_project_location_metadata_store_context(parent, google_cloud_aiplatform_v1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Contexts.
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#purge_project_location_metadata_store_execution(parent, google_cloud_aiplatform_v1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Executions.
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#query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1QueryDeployedModelsResponse
List DeployedModels that have been deployed on this DeploymentResourcePool.
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#query_project_location_metadata_store_artifact_artifact_lineage_subgraph(artifact, filter: nil, max_hops: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
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::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
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#query_project_location_metadata_store_execution_execution_inputs_and_outputs(execution, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
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#raw_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload.
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#raw_project_location_publisher_model_predict(endpoint, google_cloud_aiplatform_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleApiHttpBody
Perform an online prediction with an arbitrary HTTP payload.
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#read_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse
Reads Feature values of a specific entity of an EntityType.
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#read_project_location_index_endpoint_index_datapoints(index_endpoint, google_cloud_aiplatform_v1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadIndexDatapointsResponse
Reads the datapoints/vectors of the given IDs.
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#read_project_location_tensorboard_experiment_run_time_series(tensorboard_time_series, filter: nil, max_data_points: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse
Reads a TensorboardTimeSeries' data.
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#read_project_location_tensorboard_experiment_run_time_series_blob_data(time_series, blob_ids: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse
Gets bytes of TensorboardBlobs.
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#read_project_location_tensorboard_size(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardSizeResponse
Returns the storage size for a given TensorBoard instance.
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#read_project_location_tensorboard_usage(tensorboard, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardUsageResponse
Returns a list of monthly active users for a given TensorBoard instance.
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#remove_project_location_index_datapoints(index, google_cloud_aiplatform_v1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveDatapointsResponse
Remove Datapoints from an Index.
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#remove_project_location_metadata_store_context_context_children(context, google_cloud_aiplatform_v1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveContextChildrenResponse
Remove a set of children contexts from a parent Context.
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#restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Restores a dataset version.
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#resume_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Resumes a paused ModelDeploymentMonitoringJob.
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#resume_project_location_schedule(name, google_cloud_aiplatform_v1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1SearchDataItemsResponse
Searches DataItems in a Dataset.
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#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::AiplatformV1::GoogleCloudAiplatformV1SearchFeaturesResponse
Searches Features matching a query in a given project.
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#search_project_location_migratable_resources(parent, google_cloud_aiplatform_v1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchMigratableResourcesResponse
Searches all of the resources in automl.googleapis.com, datalabeling.
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#search_project_location_model_deployment_monitoring_job_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job, google_cloud_aiplatform_v1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse
Searches Model Monitoring Statistics generated within a given time window.
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#server_project_location_endpoint_streaming_predict(endpoint, google_cloud_aiplatform_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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#server_project_location_publisher_model_streaming_predict(endpoint, google_cloud_aiplatform_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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#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::AiplatformV1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
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#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::AiplatformV1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
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#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::AiplatformV1::GoogleIamV1Policy
Sets the access control policy on the specified resource.
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#start_project_location_notebook_runtime(name, google_cloud_aiplatform_v1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Starts a NotebookRuntime.
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#stop_project_location_study_trial(name, google_cloud_aiplatform_v1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Stops a Trial.
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#stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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#stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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#streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse
Reads Feature values for multiple entities.
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#suggest_project_location_study_trial(parent, google_cloud_aiplatform_v1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.
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#sync_project_location_feature_online_store_feature_view(feature_view, google_cloud_aiplatform_v1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SyncFeatureViewResponse
Triggers on-demand sync for the FeatureView.
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#test_project_location_featurestore_entity_type_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
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#test_project_location_featurestore_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
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#test_project_location_notebook_runtime_template_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse
Returns permissions that a caller has on the specified resource.
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#undeploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Incrementally update the dataset used for an examples model.
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#upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Upgrades a NotebookRuntime.
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#upload_project_location_model(parent, google_cloud_aiplatform_v1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Uploads a Model artifact into Vertex AI.
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#upsert_project_location_index_datapoints(index, google_cloud_aiplatform_v1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpsertDatapointsResponse
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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
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#wait_project_location_metadata_store_artifact_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
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#wait_project_location_metadata_store_context_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
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#wait_project_location_metadata_store_execution_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
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#wait_project_location_metadata_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_time_series_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesResponse
Writes Feature values of one or more entities of an EntityType.
-
#write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
-
#write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataResponse
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_v1/service.rb', line 48 def initialize super(DEFAULT_ENDPOINT_TEMPLATE, '', client_name: 'google-apis-aiplatform_v1', client_version: Google::Apis::AiplatformV1::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_v1/service.rb', line 41 def key @key end |
#quota_user ⇒ String
Returns Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 46 def quota_user @quota_user end |
Instance Method Details
#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_v1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse
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_v1/service.rb', line 9344 def (context, google_cloud_aiplatform_v1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+context}:addContextArtifactsAndExecutions', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsRequest::Representation command.request_object = google_cloud_aiplatform_v1_add_context_artifacts_and_executions_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse 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_v1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextChildrenResponse
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_v1/service.rb', line 9381 def (context, google_cloud_aiplatform_v1_add_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+context}:addContextChildren', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextChildrenRequest::Representation command.request_object = google_cloud_aiplatform_v1_add_context_children_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextChildrenResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextChildrenResponse 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_v1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddExecutionEventsResponse
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_v1/service.rb', line 9930 def (execution, google_cloud_aiplatform_v1_add_execution_events_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+execution}:addExecutionEvents', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddExecutionEventsRequest::Representation command.request_object = google_cloud_aiplatform_v1_add_execution_events_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddExecutionEventsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddExecutionEventsResponse 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_v1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
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_v1/service.rb', line 15255 def add_project_location_study_trial_trial_measurement(trial_name, google_cloud_aiplatform_v1_add_trial_measurement_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+trialName}:addTrialMeasurement', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddTrialMeasurementRequest::Representation command.request_object = google_cloud_aiplatform_v1_add_trial_measurement_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial 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_v1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 13046 def assign_project_location_notebook_runtime(parent, google_cloud_aiplatform_v1_assign_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/notebookRuntimes:assign', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AssignNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1_assign_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a batch of Features in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6530 def batch_project_location_featurestore_entity_type_feature_create(parent, google_cloud_aiplatform_v1_batch_create_features_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/features:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateFeaturesRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_create_features_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 5504 def batch_project_location_featurestore_read_feature_values(featurestore, google_cloud_aiplatform_v1_batch_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+featurestore}:batchReadFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10738 def batch_project_location_migratable_resource_migrate(parent, google_cloud_aiplatform_v1_batch_migrate_resources_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/migratableResources:batchMigrate', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchMigrateResourcesRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_migrate_resources_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse
Imports a list of externally generated EvaluatedAnnotations.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12207 def batch_project_location_model_evaluation_slice_import(parent, google_cloud_aiplatform_v1_batch_import_evaluated_annotations_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}:batchImport', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_import_evaluated_annotations_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchImportEvaluatedAnnotationsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse
Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16078 def batch_project_location_tensorboard_experiment_create(parent, google_cloud_aiplatform_v1_batch_create_tensorboard_time_series_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_create_tensorboard_time_series_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardTimeSeriesResponse 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_v1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse
Batch create TensorboardRuns.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16529 def batch_project_location_tensorboard_experiment_run_create(parent, google_cloud_aiplatform_v1_batch_create_tensorboard_runs_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/runs:batchCreate', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardRunsRequest::Representation command.request_object = google_cloud_aiplatform_v1_batch_create_tensorboard_runs_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchCreateTensorboardRunsResponse command.params['parent'] = parent unless parent.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse
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_v1/service.rb', line 15792 def batch_project_location_tensorboard_read(tensorboard, time_series: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+tensorboard}:batchRead', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.query['timeSeries'] = time_series unless time_series.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 156 def cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_v1_cancel_batch_prediction_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelBatchPredictionJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_batch_prediction_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 348 def cancel_project_location_custom_job(name, google_cloud_aiplatform_v1_cancel_custom_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelCustomJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_custom_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 536 def cancel_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Cancels a DataLabelingJob. Success of cancellation is not guaranteed.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 714 def cancel_project_location_data_labeling_job(name, google_cloud_aiplatform_v1_cancel_data_labeling_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelDataLabelingJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_data_labeling_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 907 def cancel_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1474 def cancel_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1752 def cancel_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1935 def cancel_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2297 def cancel_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2558 def cancel_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2922 def cancel_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 3727 def cancel_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 6799 def cancel_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 6982 def cancel_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7165 def cancel_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 7352 def cancel_project_location_hyperparameter_tuning_job(name, google_cloud_aiplatform_v1_cancel_hyperparameter_tuning_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelHyperparameterTuningJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_hyperparameter_tuning_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7543 def cancel_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8089 def cancel_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8518 def cancel_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9164 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9749 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10256 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10559 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 10814 def cancel_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11309 def cancel_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12028 def cancel_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12324 def cancel_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 12508 def cancel_project_location_nas_job(name, google_cloud_aiplatform_v1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelNasJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_nas_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13293 def cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 13478 def cancel_project_location_pipeline_job(name, google_cloud_aiplatform_v1_cancel_pipeline_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelPipelineJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_pipeline_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13692 def cancel_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14361 def cancel_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14723 def cancel_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15076 def cancel_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15605 def cancel_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16349 def cancel_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16801 def cancel_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17294 def cancel_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17477 def cancel_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 17662 def cancel_project_location_training_pipeline(name, google_cloud_aiplatform_v1_cancel_training_pipeline_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CancelTrainingPipelineRequest::Representation command.request_object = google_cloud_aiplatform_v1_cancel_training_pipeline_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17853 def cancel_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:cancel', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 15291 def check_project_location_study_trial_trial_early_stopping_state(trial_name, google_cloud_aiplatform_v1_check_trial_early_stopping_state_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+trialName}:checkTrialEarlyStoppingState', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CheckTrialEarlyStoppingStateRequest::Representation command.request_object = google_cloud_aiplatform_v1_check_trial_early_stopping_state_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Marks a Trial as complete.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15325 def complete_project_location_study_trial(name, google_cloud_aiplatform_v1_complete_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:complete', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CompleteTrialRequest::Representation command.request_object = google_cloud_aiplatform_v1_complete_trial_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse
Return a list of tokens based on the input text.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3100 def compute_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:computeTokens', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1_compute_tokens_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse
Return a list of tokens based on the input text.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13870 def compute_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1_compute_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:computeTokens', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1_compute_tokens_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ComputeTokensResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#copy_project_location_model(parent, google_cloud_aiplatform_v1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 11491 def copy_project_location_model(parent, google_cloud_aiplatform_v1_copy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/models:copy', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CopyModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_copy_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse
Perform a token counting.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3134 def count_project_location_endpoint_tokens(endpoint, google_cloud_aiplatform_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:countTokens', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1_count_tokens_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse 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_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse
Perform a token counting.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13904 def count_project_location_publisher_model_tokens(endpoint, google_cloud_aiplatform_v1_count_tokens_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:countTokens', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensRequest::Representation command.request_object = google_cloud_aiplatform_v1_count_tokens_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CountTokensResponse 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_v1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob
Creates a BatchPredictionJob. A BatchPredictionJob once created will right away be attempted to start.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 191 def create_project_location_batch_prediction_job(parent, google_cloud_aiplatform_v1_batch_prediction_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/batchPredictionJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob::Representation command.request_object = google_cloud_aiplatform_v1_batch_prediction_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob 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_v1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob
Creates a CustomJob. A created CustomJob right away will be attempted to be run.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 383 def create_project_location_custom_job(parent, google_cloud_aiplatform_v1_custom_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/customJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob::Representation command.request_object = google_cloud_aiplatform_v1_custom_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob 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_v1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob
Creates a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 748 def create_project_location_data_labeling_job(parent, google_cloud_aiplatform_v1_data_labeling_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/dataLabelingJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob::Representation command.request_object = google_cloud_aiplatform_v1_data_labeling_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob 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_v1_dataset_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1085 def create_project_location_dataset(parent, google_cloud_aiplatform_v1_dataset_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/datasets', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset::Representation command.request_object = google_cloud_aiplatform_v1_dataset_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Create a version from a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2113 def create_project_location_dataset_dataset_version(parent, google_cloud_aiplatform_v1_dataset_version_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/datasetVersions', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DatasetVersion::Representation command.request_object = google_cloud_aiplatform_v1_dataset_version_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Create a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2736 def create_project_location_deployment_resource_pool(parent, google_cloud_aiplatform_v1_create_deployment_resource_pool_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/deploymentResourcePools', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CreateDeploymentResourcePoolRequest::Representation command.request_object = google_cloud_aiplatform_v1_create_deployment_resource_pool_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an Endpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3178 def create_project_location_endpoint(parent, google_cloud_aiplatform_v1_endpoint_object = nil, endpoint_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/endpoints', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint::Representation command.request_object = google_cloud_aiplatform_v1_endpoint_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new FeatureGroup in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3910 def create_project_location_feature_group(parent, google_cloud_aiplatform_v1_feature_group_object = nil, feature_group_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/featureGroups', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup::Representation command.request_object = google_cloud_aiplatform_v1_feature_group_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new Feature in a given FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4117 def create_project_location_feature_group_feature(parent, google_cloud_aiplatform_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/features', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.request_object = google_cloud_aiplatform_v1_feature_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new FeatureOnlineStore in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4636 def create_project_location_feature_online_store(parent, google_cloud_aiplatform_v1_feature_online_store_object = nil, feature_online_store_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/featureOnlineStores', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore::Representation command.request_object = google_cloud_aiplatform_v1_feature_online_store_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_view_object = nil, feature_view_id: nil, run_sync_immediately: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new FeatureView in a given FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4849 def create_project_location_feature_online_store_feature_view(parent, google_cloud_aiplatform_v1_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, 'v1/{+parent}/featureViews', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureView::Representation command.request_object = google_cloud_aiplatform_v1_feature_view_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new Featurestore in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5543 def create_project_location_featurestore(parent, google_cloud_aiplatform_v1_featurestore_object = nil, featurestore_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/featurestores', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore::Representation command.request_object = google_cloud_aiplatform_v1_featurestore_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new EntityType in a given Featurestore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5953 def create_project_location_featurestore_entity_type(parent, google_cloud_aiplatform_v1_entity_type_object = nil, entity_type_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/entityTypes', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType::Representation command.request_object = google_cloud_aiplatform_v1_entity_type_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a new Feature in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6572 def create_project_location_featurestore_entity_type_feature(parent, google_cloud_aiplatform_v1_feature_object = nil, feature_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/features', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.request_object = google_cloud_aiplatform_v1_feature_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob
Creates a HyperparameterTuningJob
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7386 def create_project_location_hyperparameter_tuning_job(parent, google_cloud_aiplatform_v1_hyperparameter_tuning_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/hyperparameterTuningJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob::Representation command.request_object = google_cloud_aiplatform_v1_hyperparameter_tuning_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob 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_v1_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an Index.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8267 def create_project_location_index(parent, google_cloud_aiplatform_v1_index_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/indexes', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Index::Representation command.request_object = google_cloud_aiplatform_v1_index_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7721 def create_project_location_index_endpoint(parent, google_cloud_aiplatform_v1_index_endpoint_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/indexEndpoints', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint::Representation command.request_object = google_cloud_aiplatform_v1_index_endpoint_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_metadata_store_object = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Initializes a MetadataStore, including allocation of resources.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8704 def (parent, = nil, metadata_store_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/metadataStores', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataStore::Representation command.request_object = command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Creates an Artifact associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8855 def (parent, google_cloud_aiplatform_v1_artifact_object = nil, artifact_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/artifacts', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact::Representation command.request_object = google_cloud_aiplatform_v1_artifact_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact 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_v1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Creates a Context associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9424 def (parent, google_cloud_aiplatform_v1_context_object = nil, context_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/contexts', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context::Representation command.request_object = google_cloud_aiplatform_v1_context_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context 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_v1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Creates an Execution associated with a MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9973 def (parent, google_cloud_aiplatform_v1_execution_object = nil, execution_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/executions', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution::Representation command.request_object = google_cloud_aiplatform_v1_execution_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution 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_v1_metadata_schema_object = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema
Creates a MetadataSchema.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10443 def (parent, = nil, metadata_schema_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/metadataSchemas', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema::Representation command.request_object = command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema 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_v1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob
Creates a ModelDeploymentMonitoringJob. It will run periodically on a configured interval.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10993 def create_project_location_model_deployment_monitoring_job(parent, google_cloud_aiplatform_v1_model_deployment_monitoring_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/modelDeploymentMonitoringJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob::Representation command.request_object = google_cloud_aiplatform_v1_model_deployment_monitoring_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob 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_v1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob
Creates a NasJob
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12542 def create_project_location_nas_job(parent, google_cloud_aiplatform_v1_nas_job_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/nasJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob::Representation command.request_object = google_cloud_aiplatform_v1_nas_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob 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_v1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12762 def create_project_location_notebook_runtime_template(parent, google_cloud_aiplatform_v1_notebook_runtime_template_object = nil, notebook_runtime_template_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/notebookRuntimeTemplates', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate::Representation command.request_object = google_cloud_aiplatform_v1_notebook_runtime_template_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_pipeline_job(parent, google_cloud_aiplatform_v1_pipeline_job_object = nil, pipeline_job_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
Creates a PipelineJob. A PipelineJob will run immediately when created.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13517 def create_project_location_pipeline_job(parent, google_cloud_aiplatform_v1_pipeline_job_object = nil, pipeline_job_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/pipelineJobs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob::Representation command.request_object = google_cloud_aiplatform_v1_pipeline_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob 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_v1_schedule_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule
Creates a Schedule.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14078 def create_project_location_schedule(parent, google_cloud_aiplatform_v1_schedule_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/schedules', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule::Representation command.request_object = google_cloud_aiplatform_v1_schedule_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule 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_v1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14539 def create_project_location_specialist_pool(parent, google_cloud_aiplatform_v1_specialist_pool_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/specialistPools', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool::Representation command.request_object = google_cloud_aiplatform_v1_specialist_pool_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_study_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study
Creates a Study. A resource name will be generated after creation of the Study.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14901 def create_project_location_study(parent, google_cloud_aiplatform_v1_study_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/studies', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study::Representation command.request_object = google_cloud_aiplatform_v1_study_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study 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_v1_trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Adds a user provided Trial to a Study.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15359 def create_project_location_study_trial(parent, google_cloud_aiplatform_v1_trial_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.request_object = google_cloud_aiplatform_v1_trial_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial 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_v1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15825 def create_project_location_tensorboard(parent, google_cloud_aiplatform_v1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/tensorboards', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Tensorboard::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Creates a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16117 def create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/experiments', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_experiment_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment 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_v1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Creates a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16568 def create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/runs', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_run_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun 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_v1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Creates a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16984 def create_project_location_tensorboard_experiment_run_time_series(parent, google_cloud_aiplatform_v1_tensorboard_time_series_object = nil, tensorboard_time_series_id: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/timeSeries', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_time_series_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries 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_v1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline
Creates a TrainingPipeline. A created TrainingPipeline right away will be attempted to be run.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17697 def create_project_location_training_pipeline(parent, google_cloud_aiplatform_v1_training_pipeline_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trainingPipelines', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline::Representation command.request_object = google_cloud_aiplatform_v1_training_pipeline_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline 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::AiplatformV1::GoogleLongrunningOperation
Deletes a BatchPredictionJob. Can only be called on jobs that already finished.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 225 def delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a CustomJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 416 def delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 569 def delete_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 781 def delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 940 def delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1118 def delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1507 def delete_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1785 def delete_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1968 def delete_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a Dataset version.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2147 def delete_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2330 def delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a SavedQuery.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2474 def delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2591 def delete_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Delete a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2770 def delete_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2955 def delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes an Endpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3212 def delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 3760 def delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3947 def delete_project_location_feature_group(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4153 def delete_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 4340 def delete_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 4486 def delete_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureOnlineStore. The FeatureOnlineStore must not contain any FeatureViews.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4675 def delete_project_location_feature_online_store(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4885 def delete_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5208 def delete_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5354 def delete_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5582 def delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5991 def delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6608 def delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 6832 def delete_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 6031 def delete_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_delete_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:deleteFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeleteFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_delete_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7015 def delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7198 def delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7420 def delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7576 def delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8301 def delete_project_location_index(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7754 def delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8122 def delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8551 def delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8741 def (name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes an Artifact.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8894 def (name, etag: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9197 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_context(name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a stored Context.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9466 def (name, etag: nil, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['force'] = force unless force.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9782 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_execution(name, etag: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Execution.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10012 def (name, etag: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['etag'] = etag unless etag.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10289 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10592 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::GoogleProtobufEmpty command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10847 def delete_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11525 def delete_project_location_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11027 def delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11342 def delete_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12061 def delete_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12357 def delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11559 def delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}:deleteVersion', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a NasJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12575 def delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13081 def delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12797 def delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13326 def delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a PipelineJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13551 def delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13725 def delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a Schedule.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14111 def delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14394 def delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a SpecialistPool as well as all Specialists in the pool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14576 def delete_project_location_specialist_pool(name, force: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14756 def delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Deletes a Study.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14934 def delete_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15109 def delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleProtobufEmpty
Deletes a Trial.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15392 def delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15638 def delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15858 def delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16152 def delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16382 def delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16603 def delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16834 def delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17019 def delete_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17327 def delete_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17510 def delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleLongrunningOperation
Deletes a TrainingPipeline.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17730 def delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17886 def delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:delete, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deploys a Model into this Endpoint, creating a DeployedModel within it.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3244 def deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:deployModel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeployModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_deploy_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 7788 def deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+indexEndpoint}:deployIndex', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeployIndexRequest::Representation command.request_object = google_cloud_aiplatform_v1_deploy_index_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['indexEndpoint'] = index_endpoint unless index_endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectPredictResponse
Perform an unary online prediction request for Vertex first-party products and frameworks.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3279 def direct_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1_direct_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:directPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_direct_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectRawPredictResponse
Perform an online prediction request through gRPC.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3313 def direct_project_location_endpoint_raw_predict(endpoint, google_cloud_aiplatform_v1_direct_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:directRawPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectRawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_direct_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectRawPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DirectRawPredictResponse command.params['endpoint'] = endpoint unless endpoint.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainResponse
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_v1/service.rb', line 3350 def explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:explain', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainRequest::Representation command.request_object = google_cloud_aiplatform_v1_explain_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainResponse 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_v1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports data from a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1150 def export_project_location_dataset(name, google_cloud_aiplatform_v1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:export', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportDataRequest::Representation command.request_object = google_cloud_aiplatform_v1_export_data_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports Feature values from all the entities of a target EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6066 def export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:exportFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_export_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 11594 def export_project_location_model(name, google_cloud_aiplatform_v1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:export', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_export_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse
Exports a TensorboardTimeSeries' data. Data is returned in paginated responses.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17052 def export_project_location_tensorboard_experiment_run_time_series_tensorboard_time_series(tensorboard_time_series, google_cloud_aiplatform_v1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+tensorboardTimeSeries}:exportTensorboardTimeSeries', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataRequest::Representation command.request_object = google_cloud_aiplatform_v1_export_tensorboard_time_series_data_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse 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_v1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FetchFeatureValuesResponse
Fetch feature values under a FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4917 def fetch_project_location_feature_online_store_feature_view_feature_values(feature_view, google_cloud_aiplatform_v1_fetch_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+featureView}:fetchFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FetchFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_fetch_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FetchFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FetchFeatureValuesResponse 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_v1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsResponse
Finds the nearest neighbors of each vector within the request.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7822 def find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+indexEndpoint}:findNeighbors', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsRequest::Representation command.request_object = google_cloud_aiplatform_v1_find_neighbors_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsResponse 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 |
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudLocationLocation
Gets information about a location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 75 def get_project_location(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudLocationLocation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob
Gets a BatchPredictionJob
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 256 def get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1CustomJob
Gets a CustomJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 447 def get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 600 def get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob
Gets a DataLabelingJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 812 def get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 971 def get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Dataset
Gets a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1184 def get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset 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::AiplatformV1::GoogleCloudAiplatformV1AnnotationSpec
Gets an AnnotationSpec.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1436 def get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AnnotationSpec::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AnnotationSpec 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::AiplatformV1::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_v1/service.rb', line 1538 def get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1816 def get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1999 def get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1DatasetVersion
Gets a Dataset version.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2181 def get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DatasetVersion::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DatasetVersion 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::AiplatformV1::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_v1/service.rb', line 2361 def get_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2622 def get_project_location_dataset_saved_query_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1DeploymentResourcePool
Get a DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2802 def get_project_location_deployment_resource_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeploymentResourcePool::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeploymentResourcePool command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 2986 def get_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Endpoint
Gets an Endpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3383 def get_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 3791 def get_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup
Gets details of a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3978 def get_project_location_feature_group(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1Feature
Gets details of a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4186 def get_project_location_feature_group_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 4371 def get_project_location_feature_group_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 4517 def get_project_location_feature_group_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore
Gets details of a single FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4706 def get_project_location_feature_online_store(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1FeatureView
Gets details of a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4951 def get_project_location_feature_online_store_feature_view(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureView::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureView command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1FeatureViewSync
Gets details of a single FeatureViewSync.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5120 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, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureViewSync::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureViewSync command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 5239 def get_project_location_feature_online_store_feature_view_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5385 def get_project_location_feature_online_store_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Featurestore
Gets details of a single Featurestore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5613 def get_project_location_featurestore(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1EntityType
Gets details of a single EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6099 def get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1Feature
Gets details of a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6641 def get_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 6863 def get_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 6143 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, 'v1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7046 def get_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 5657 def get_project_location_featurestore_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 7229 def get_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob
Gets a HyperparameterTuningJob
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7452 def get_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 7607 def get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Index
Gets an Index.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8332 def get_project_location_index(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Index::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Index command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint
Gets an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7855 def get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 8153 def get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8582 def get_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1MetadataStore
Retrieves a specific MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8773 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataStore::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataStore command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1Artifact
Retrieves a specific Artifact.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8927 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_artifact_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9228 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Retrieves a specific Context.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9500 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_context_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9813 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_execution(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Retrieves a specific Execution.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10045 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_execution_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10320 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema
Retrieves a specific MetadataSchema.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10478 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_metadata_store_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10623 def (name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10878 def get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Model
Gets a Model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11633 def get_project_location_model(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11059 def get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 11373 def get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
Gets a ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11912 def get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 12092 def get_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationSlice
Gets a ModelEvaluationSlice.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12241 def get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationSlice::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationSlice command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 12388 def get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1NasJob
Gets a NasJob
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12606 def get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1NasTrialDetail
Gets a NasTrialDetail.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12689 def get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasTrialDetail::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasTrialDetail command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntime
Gets a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13113 def get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntime::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntime command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate
Gets a NotebookRuntimeTemplate.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12829 def get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 12873 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, 'v1/{+resource}:getIamPolicy', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13357 def get_project_location_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
Gets a PipelineJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13582 def get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 13756 def get_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Schedule
Gets a Schedule.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14142 def get_project_location_schedule(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 14425 def get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool
Gets a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14608 def get_project_location_specialist_pool(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 14787 def get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Study
Gets a Study by name.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14965 def get_project_location_study(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 15140 def get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Trial
Gets a Trial.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15423 def get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 15669 def get_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1Tensorboard
Gets a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15889 def get_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Tensorboard::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Tensorboard command.params['name'] = name unless name.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::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Gets a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16184 def get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 16413 def get_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Gets a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16635 def get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 16865 def get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Gets a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17086 def get_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 17358 def get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17541 def get_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline
Gets a TrainingPipeline.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17761 def get_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline command.params['name'] = name unless name.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::AiplatformV1::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_v1/service.rb', line 17917 def get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1PublisherModel
Gets a Model Garden publisher model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 18035 def get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PublisherModel::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PublisherModel 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_v1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Imports data into a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1217 def import_project_location_dataset(name, google_cloud_aiplatform_v1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:import', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportDataRequest::Representation command.request_object = google_cloud_aiplatform_v1_import_data_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 6189 def import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:importFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_import_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
Imports an externally generated ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11944 def import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/evaluations:import', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ImportModelEvaluationRequest::Representation command.request_object = google_cloud_aiplatform_v1_import_model_evaluation_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation 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::AiplatformV1::GoogleCloudAiplatformV1ListBatchPredictionJobsResponse
Lists BatchPredictionJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 306 def list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/batchPredictionJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListBatchPredictionJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListBatchPredictionJobsResponse 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::AiplatformV1::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_v1/service.rb', line 637 def list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse
Lists CustomJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 495 def list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/customJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse 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::AiplatformV1::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_v1/service.rb', line 1008 def list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDataLabelingJobsResponse
Lists DataLabelingJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 865 def list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/dataLabelingJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataLabelingJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataLabelingJobsResponse 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::AiplatformV1::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_v1/service.rb', line 1575 def list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1853 def list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse
Lists Annotations belongs to a dataitem
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1710 def list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/annotations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse 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::AiplatformV1::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_v1/service.rb', line 2036 def list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDataItemsResponse
Lists DataItems in a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1662 def list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/dataItems', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataItemsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataItemsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListDatasetVersionsResponse
Lists DatasetVersions in a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2224 def list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/datasetVersions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetVersionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetVersionsResponse 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::AiplatformV1::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_v1/service.rb', line 2398 def list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse
Lists SavedQueries in a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2516 def list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/savedQueries', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse 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::AiplatformV1::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_v1/service.rb', line 2659 def list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDatasetsResponse
Lists Datasets in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1268 def list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/datasets', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetsResponse 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::AiplatformV1::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_v1/service.rb', line 3023 def list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse
List DeploymentResourcePools in a location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2841 def list_project_location_deployment_resource_pools(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/deploymentResourcePools', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDeploymentResourcePoolsResponse 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_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 3828 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEndpointsResponse
Lists Endpoints in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3435 def list_project_location_endpoints(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, 'v1/{+parent}/endpoints', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEndpointsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEndpointsResponse 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_feature_group_feature_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 4408 def list_project_location_feature_group_feature_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse
Lists Features in a given FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4253 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, 'v1/{+parent}/features', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse 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_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 4554 def list_project_location_feature_group_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureGroupsResponse
Lists FeatureGroups in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4031 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, 'v1/{+parent}/featureGroups', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureGroupsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureGroupsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewSyncsResponse
Lists FeatureViewSyncs in a given FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5171 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, 'v1/{+parent}/featureViewSyncs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewSyncsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewSyncsResponse 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_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 5276 def list_project_location_feature_online_store_feature_view_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewsResponse
Lists FeatureViews in a given FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5007 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, 'v1/{+parent}/featureViews', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewsResponse 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_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 5422 def list_project_location_feature_online_store_operation_wait(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse
Lists FeatureOnlineStores in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4761 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, 'v1/{+parent}/featureOnlineStores', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureOnlineStoresResponse 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::AiplatformV1::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_v1/service.rb', line 6900 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse
Lists Features in a given EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6708 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, 'v1/{+parent}/features', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturesResponse 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::AiplatformV1::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_v1/service.rb', line 7083 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListEntityTypesResponse
Lists EntityTypes in a given Featurestore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6248 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, 'v1/{+parent}/entityTypes', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEntityTypesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEntityTypesResponse 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::AiplatformV1::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_v1/service.rb', line 7266 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListFeaturestoresResponse
Lists Featurestores in a given project and location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5714 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, 'v1/{+parent}/featurestores', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturestoresResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeaturestoresResponse 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::AiplatformV1::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_v1/service.rb', line 7644 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse
Lists HyperparameterTuningJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7502 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, 'v1/{+parent}/hyperparameterTuningJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListHyperparameterTuningJobsResponse 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::AiplatformV1::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_v1/service.rb', line 8190 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListIndexEndpointsResponse
Lists IndexEndpoints in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7905 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, 'v1/{+parent}/indexEndpoints', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexEndpointsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexEndpointsResponse 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::AiplatformV1::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_v1/service.rb', line 8619 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListIndexesResponse
Lists Indexes in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8372 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, 'v1/{+parent}/indexes', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListIndexesResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['readMask'] = read_mask unless read_mask.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_artifact_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9265 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_artifacts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListArtifactsResponse
Lists Artifacts in the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8991 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, 'v1/{+parent}/artifacts', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListArtifactsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListArtifactsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_context_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9850 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_contexts(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListContextsResponse
Lists Contexts on the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9564 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, 'v1/{+parent}/contexts', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListContextsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListContextsResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['orderBy'] = order_by unless order_by.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_execution_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10357 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_executions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListExecutionsResponse
Lists Executions in the MetadataStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10109 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, 'v1/{+parent}/executions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListExecutionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListExecutionsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListMetadataSchemasResponse
Lists MetadataSchemas.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10519 def (parent, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/metadataSchemas', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataSchemasResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataSchemasResponse command.params['parent'] = parent unless parent.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_store_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10660 def (name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse command.params['name'] = name unless name.nil? command.query['filter'] = filter unless filter.nil? command.query['pageSize'] = page_size unless page_size.nil? command.query['pageToken'] = page_token unless page_token.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#list_project_location_metadata_stores(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataStoresResponse
Lists MetadataStores for a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8812 def (parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+parent}/metadataStores', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataStoresResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListMetadataStoresResponse 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::AiplatformV1::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_v1/service.rb', line 10915 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11410 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse
Lists ModelDeploymentMonitoringJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11106 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, 'v1/{+parent}/modelDeploymentMonitoringJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelDeploymentMonitoringJobsResponse 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::AiplatformV1::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_v1/service.rb', line 12129 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse
Lists ModelEvaluationSlices in a ModelEvaluation.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12283 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, 'v1/{+parent}/slices', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationSlicesResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationsResponse
Lists ModelEvaluations in a Model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11987 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, 'v1/{+parent}/evaluations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelEvaluationsResponse 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_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 12425 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListModelVersionsResponse
Lists versions of the specified model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11736 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, 'v1/{+name}:listVersions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelVersionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelVersionsResponse 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, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelsResponse
Lists Models in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11684 def list_project_location_models(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, 'v1/{+parent}/models', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListModelsResponse 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_nas_job_nas_trial_details(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasTrialDetailsResponse
List top NasTrialDetails of a NasJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12726 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, 'v1/{+parent}/nasTrialDetails', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasTrialDetailsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasTrialDetailsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListNasJobsResponse
Lists NasJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12654 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, 'v1/{+parent}/nasJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNasJobsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse
Lists NotebookRuntimeTemplates in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 12930 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, 'v1/{+parent}/notebookRuntimeTemplates', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimeTemplatesResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimesResponse
Lists NotebookRuntimes in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13179 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, 'v1/{+parent}/notebookRuntimes', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListNotebookRuntimesResponse 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::AiplatformV1::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_v1/service.rb', line 13394 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 13793 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListPipelineJobsResponse
Lists PipelineJobs in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13650 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, 'v1/{+parent}/pipelineJobs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListPipelineJobsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListPipelineJobsResponse 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::AiplatformV1::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_v1/service.rb', line 14462 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListSchedulesResponse
Lists Schedules in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14204 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, 'v1/{+parent}/schedules', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSchedulesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSchedulesResponse 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_specialist_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 14824 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListSpecialistPoolsResponse
Lists SpecialistPools in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14647 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, 'v1/{+parent}/specialistPools', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSpecialistPoolsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSpecialistPoolsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListStudiesResponse
Lists all the studies in a region for an associated project.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15002 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, 'v1/{+parent}/studies', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListStudiesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListStudiesResponse 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::AiplatformV1::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_v1/service.rb', line 15177 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15706 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsResponse
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_v1/service.rb', line 15495 def list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials:listOptimalTrials', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsRequest::Representation command.request_object = google_cloud_aiplatform_v1_list_optimal_trials_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListTrialsResponse
Lists the Trials associated with a Study.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15460 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, 'v1/{+parent}/trials', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrialsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrialsResponse 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::AiplatformV1::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_v1/service.rb', line 16450 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16902 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse
Lists TensorboardTimeSeries in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17133 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, 'v1/{+parent}/timeSeries', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse 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::AiplatformV1::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_v1/service.rb', line 17395 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardRunsResponse
Lists TensorboardRuns in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16682 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, 'v1/{+parent}/runs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardRunsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardRunsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardExperimentsResponse
Lists TensorboardExperiments in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16230 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, 'v1/{+parent}/experiments', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardExperimentsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardExperimentsResponse 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::AiplatformV1::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_v1/service.rb', line 17578 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardsResponse
Lists Tensorboards in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15935 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, 'v1/{+parent}/tensorboards', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardsResponse 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::AiplatformV1::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_v1/service.rb', line 17954 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, 'v1/{+name}/operations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1ListTrainingPipelinesResponse
Lists TrainingPipelines in a Location.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17812 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, 'v1/{+parent}/trainingPipelines', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrainingPipelinesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrainingPipelinesResponse 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::AiplatformV1::GoogleCloudLocationListLocationsResponse
Lists information about the supported locations for this service.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 115 def list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}/locations', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudLocationListLocationsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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 |
#lookup_project_location_study(parent, google_cloud_aiplatform_v1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study
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_v1/service.rb', line 15037 def lookup_project_location_study(parent, google_cloud_aiplatform_v1_lookup_study_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/studies:lookup', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LookupStudyRequest::Representation command.request_object = google_cloud_aiplatform_v1_lookup_study_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study 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_v1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Merges a set of aliases for a Model version.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11774 def merge_project_location_model_version_aliases(name, google_cloud_aiplatform_v1_merge_version_aliases_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:mergeVersionAliases', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MergeVersionAliasesRequest::Representation command.request_object = google_cloud_aiplatform_v1_merge_version_aliases_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model command.params['name'] = name unless name.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_v1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 3476 def mutate_project_location_endpoint_deployed_model(endpoint, google_cloud_aiplatform_v1_mutate_deployed_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:mutateDeployedModel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MutateDeployedModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_mutate_deployed_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Update an existing DeployedIndex under an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7942 def mutate_project_location_index_endpoint_deployed_index(index_endpoint, google_cloud_aiplatform_v1_deployed_index_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+indexEndpoint}:mutateDeployedIndex', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DeployedIndex::Representation command.request_object = google_cloud_aiplatform_v1_deployed_index_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset
Updates a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1308 def patch_project_location_dataset(name, google_cloud_aiplatform_v1_dataset_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset::Representation command.request_object = google_cloud_aiplatform_v1_dataset_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset 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_v1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint
Updates an Endpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3512 def patch_project_location_endpoint(name, google_cloud_aiplatform_v1_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint::Representation command.request_object = google_cloud_aiplatform_v1_endpoint_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Endpoint 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_v1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureGroup.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4074 def patch_project_location_feature_group(name, google_cloud_aiplatform_v1_feature_group_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureGroup::Representation command.request_object = google_cloud_aiplatform_v1_feature_group_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4304 def patch_project_location_feature_group_feature(name, google_cloud_aiplatform_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.request_object = google_cloud_aiplatform_v1_feature_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureOnlineStore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 4805 def patch_project_location_feature_online_store(name, google_cloud_aiplatform_v1_feature_online_store_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureOnlineStore::Representation command.request_object = google_cloud_aiplatform_v1_feature_online_store_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5051 def patch_project_location_feature_online_store_feature_view(name, google_cloud_aiplatform_v1_feature_view_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureView::Representation command.request_object = google_cloud_aiplatform_v1_feature_view_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates the parameters of a single Featurestore.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5759 def patch_project_location_featurestore(name, google_cloud_aiplatform_v1_featurestore_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore::Representation command.request_object = google_cloud_aiplatform_v1_featurestore_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType
Updates the parameters of a single EntityType.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6303 def patch_project_location_featurestore_entity_type(name, google_cloud_aiplatform_v1_entity_type_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType::Representation command.request_object = google_cloud_aiplatform_v1_entity_type_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType 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_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature
Updates the parameters of a single Feature.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 6759 def patch_project_location_featurestore_entity_type_feature(name, google_cloud_aiplatform_v1_feature_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.request_object = google_cloud_aiplatform_v1_feature_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature 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_v1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates an Index.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8410 def patch_project_location_index(name, google_cloud_aiplatform_v1_index_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Index::Representation command.request_object = google_cloud_aiplatform_v1_index_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint
Updates an IndexEndpoint.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 7978 def patch_project_location_index_endpoint(name, google_cloud_aiplatform_v1_index_endpoint_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint::Representation command.request_object = google_cloud_aiplatform_v1_index_endpoint_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint 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_v1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Updates a stored Artifact.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9030 def (name, google_cloud_aiplatform_v1_artifact_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact::Representation command.request_object = google_cloud_aiplatform_v1_artifact_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact 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_v1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Updates a stored Context.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9603 def (name, google_cloud_aiplatform_v1_context_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context::Representation command.request_object = google_cloud_aiplatform_v1_context_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context 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_v1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Updates a stored Execution.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10148 def (name, google_cloud_aiplatform_v1_execution_object = nil, allow_missing: nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution::Representation command.request_object = google_cloud_aiplatform_v1_execution_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution 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_v1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Updates a Model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11810 def patch_project_location_model(name, google_cloud_aiplatform_v1_model_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model::Representation command.request_object = google_cloud_aiplatform_v1_model_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model 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_v1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a ModelDeploymentMonitoringJob.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11161 def patch_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_model_deployment_monitoring_job_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob::Representation command.request_object = google_cloud_aiplatform_v1_model_deployment_monitoring_job_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule
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_v1/service.rb', line 14246 def patch_project_location_schedule(name, google_cloud_aiplatform_v1_schedule_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule::Representation command.request_object = google_cloud_aiplatform_v1_schedule_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule 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_v1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a SpecialistPool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14683 def patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool::Representation command.request_object = google_cloud_aiplatform_v1_specialist_pool_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a Tensorboard.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15978 def patch_project_location_tensorboard(name, google_cloud_aiplatform_v1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Tensorboard::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Updates a TensorboardExperiment.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16273 def patch_project_location_tensorboard_experiment(name, google_cloud_aiplatform_v1_tensorboard_experiment_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_experiment_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment 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_v1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Updates a TensorboardRun.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16725 def patch_project_location_tensorboard_experiment_run(name, google_cloud_aiplatform_v1_tensorboard_run_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_run_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun 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_v1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Updates a TensorboardTimeSeries.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 17175 def patch_project_location_tensorboard_experiment_run_time_series(name, google_cloud_aiplatform_v1_tensorboard_time_series_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:patch, 'v1/{+name}', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries::Representation command.request_object = google_cloud_aiplatform_v1_tensorboard_time_series_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries 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_v1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 11199 def pause_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_pause_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:pause', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PauseModelDeploymentMonitoringJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_pause_model_deployment_monitoring_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 14283 def pause_project_location_schedule(name, google_cloud_aiplatform_v1_pause_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:pause', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PauseScheduleRequest::Representation command.request_object = google_cloud_aiplatform_v1_pause_schedule_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse
Perform an online prediction.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3547 def predict_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:predict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse 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_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse
Perform an online prediction.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13938 def predict_project_location_publisher_model(endpoint, google_cloud_aiplatform_v1_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:predict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PredictResponse 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_v1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Artifacts.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9066 def (parent, google_cloud_aiplatform_v1_purge_artifacts_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/artifacts:purge', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PurgeArtifactsRequest::Representation command.request_object = google_cloud_aiplatform_v1_purge_artifacts_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Contexts.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 9639 def (parent, google_cloud_aiplatform_v1_purge_contexts_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/contexts:purge', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PurgeContextsRequest::Representation command.request_object = google_cloud_aiplatform_v1_purge_contexts_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Purges Executions.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 10184 def (parent, google_cloud_aiplatform_v1_purge_executions_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/executions:purge', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PurgeExecutionsRequest::Representation command.request_object = google_cloud_aiplatform_v1_purge_executions_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1QueryDeployedModelsResponse
List DeployedModels that have been deployed on this DeploymentResourcePool.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2883 def query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+deploymentResourcePool}:queryDeployedModels', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1QueryDeployedModelsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1QueryDeployedModelsResponse 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::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
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_v1/service.rb', line 9125 def (artifact, filter: nil, max_hops: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+artifact}:queryArtifactLineageSubgraph', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph 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::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
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_v1/service.rb', line 9677 def (context, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+context}:queryContextLineageSubgraph', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph 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::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph
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_v1/service.rb', line 10219 def (execution, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+execution}:queryExecutionInputsAndOutputs', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1LineageSubgraph 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_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 3584 def raw_project_location_endpoint_predict(endpoint, google_cloud_aiplatform_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:rawPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 13975 def raw_project_location_publisher_model_predict(endpoint, google_cloud_aiplatform_v1_raw_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:rawPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RawPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_raw_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleApiHttpBody::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse
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_v1/service.rb', line 6342 def read_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:readFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse 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_v1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadIndexDatapointsResponse
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_v1/service.rb', line 8014 def read_project_location_index_endpoint_index_datapoints(index_endpoint, google_cloud_aiplatform_v1_read_index_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+indexEndpoint}:readIndexDatapoints', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadIndexDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1_read_index_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadIndexDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadIndexDatapointsResponse 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::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse
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_v1/service.rb', line 17218 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, 'v1/{+tensorboardTimeSeries}:read', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardTimeSeriesDataResponse 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::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse
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_v1/service.rb', line 17256 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, 'v1/{+timeSeries}:readBlobData', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardBlobDataResponse 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::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardSizeResponse
Returns the storage size for a given TensorBoard instance.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16012 def read_project_location_tensorboard_size(tensorboard, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+tensorboard}:readSize', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardSizeResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardSizeResponse 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::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardUsageResponse
Returns a list of monthly active users for a given TensorBoard instance.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 16043 def read_project_location_tensorboard_usage(tensorboard, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+tensorboard}:readUsage', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardUsageResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadTensorboardUsageResponse 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_v1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveDatapointsResponse
Remove Datapoints from an Index.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8445 def remove_project_location_index_datapoints(index, google_cloud_aiplatform_v1_remove_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+index}:removeDatapoints', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1_remove_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveDatapointsResponse 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_v1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveContextChildrenResponse
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_v1/service.rb', line 9710 def (context, google_cloud_aiplatform_v1_remove_context_children_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+context}:removeContextChildren', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveContextChildrenRequest::Representation command.request_object = google_cloud_aiplatform_v1_remove_context_children_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveContextChildrenResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RemoveContextChildrenResponse 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 |
#restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Restores a dataset version.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 2260 def restore_project_location_dataset_dataset_version(name, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+name}:restore', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 11235 def resume_project_location_model_deployment_monitoring_job(name, google_cloud_aiplatform_v1_resume_model_deployment_monitoring_job_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:resume', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ResumeModelDeploymentMonitoringJobRequest::Representation command.request_object = google_cloud_aiplatform_v1_resume_model_deployment_monitoring_job_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 14322 def resume_project_location_schedule(name, google_cloud_aiplatform_v1_resume_schedule_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:resume', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ResumeScheduleRequest::Representation command.request_object = google_cloud_aiplatform_v1_resume_schedule_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleProtobufEmpty::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::GoogleCloudAiplatformV1SearchDataItemsResponse
Searches DataItems in a Dataset.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 1390 def search_project_location_dataset_data_items(dataset, annotation_filters: nil, annotations_filter: nil, annotations_limit: nil, data_item_filter: nil, data_labeling_job: nil, field_mask: nil, order_by: nil, order_by_annotation_order_by: nil, order_by_annotation_saved_query: nil, order_by_data_item: nil, page_size: nil, page_token: nil, saved_query: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+dataset}:searchDataItems', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchDataItemsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchDataItemsResponse 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_featurestore_features(location, page_size: nil, page_token: nil, query: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchFeaturesResponse
Searches Features matching a query in a given project.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5835 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, 'v1/{+location}/featurestores:searchFeatures', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchFeaturesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchFeaturesResponse 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_v1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchMigratableResourcesResponse
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_v1/service.rb', line 10775 def search_project_location_migratable_resources(parent, google_cloud_aiplatform_v1_search_migratable_resources_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/migratableResources:search', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchMigratableResourcesRequest::Representation command.request_object = google_cloud_aiplatform_v1_search_migratable_resources_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchMigratableResourcesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchMigratableResourcesResponse 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_v1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse
Searches Model Monitoring Statistics generated within a given time window.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11270 def search_project_location_model_deployment_monitoring_job_model_deployment_monitoring_stats_anomalies(model_deployment_monitoring_job, google_cloud_aiplatform_v1_search_model_deployment_monitoring_stats_anomalies_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+modelDeploymentMonitoringJob}:searchModelDeploymentMonitoringStatsAnomalies', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesRequest::Representation command.request_object = google_cloud_aiplatform_v1_search_model_deployment_monitoring_stats_anomalies_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SearchModelDeploymentMonitoringStatsAnomaliesResponse 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_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3619 def server_project_location_endpoint_streaming_predict(endpoint, google_cloud_aiplatform_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:serverStreamingPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_streaming_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse 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_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse
Perform a server-side streaming online prediction request for Vertex LLM streaming.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14010 def server_project_location_publisher_model_streaming_predict(endpoint, google_cloud_aiplatform_v1_streaming_predict_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:serverStreamingPredict', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictRequest::Representation command.request_object = google_cloud_aiplatform_v1_streaming_predict_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingPredictResponse 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_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::AiplatformV1::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_v1/service.rb', line 6379 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, 'v1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5873 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, 'v1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12970 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, 'v1/{+resource}:setIamPolicy', ) command.request_representation = Google::Apis::AiplatformV1::GoogleIamV1SetIamPolicyRequest::Representation command.request_object = google_iam_v1_set_iam_policy_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1Policy::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Starts a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13218 def start_project_location_notebook_runtime(name, google_cloud_aiplatform_v1_start_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:start', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StartNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1_start_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Stops a Trial.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 15529 def stop_project_location_study_trial(name, google_cloud_aiplatform_v1_stop_trial_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:stop', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StopTrialRequest::Representation command.request_object = google_cloud_aiplatform_v1_stop_trial_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 3653 def stream_project_location_endpoint_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+model}:streamGenerateContent', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse
Generate content with multimodal inputs with streaming support.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 14044 def stream_project_location_publisher_model_generate_content(model, google_cloud_aiplatform_v1_generate_content_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+model}:streamGenerateContent', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentRequest::Representation command.request_object = google_cloud_aiplatform_v1_generate_content_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1GenerateContentResponse command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse
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_v1/service.rb', line 6416 def streaming_project_location_featurestore_entity_type_read_feature_values(entity_type, google_cloud_aiplatform_v1_streaming_read_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:streamingReadFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1StreamingReadFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_streaming_read_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ReadFeatureValuesResponse 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_v1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 15566 def suggest_project_location_study_trial(parent, google_cloud_aiplatform_v1_suggest_trials_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/trials:suggest', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SuggestTrialsRequest::Representation command.request_object = google_cloud_aiplatform_v1_suggest_trials_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SyncFeatureViewResponse
Triggers on-demand sync for the FeatureView.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 5086 def sync_project_location_feature_online_store_feature_view(feature_view, google_cloud_aiplatform_v1_sync_feature_view_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+featureView}:sync', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SyncFeatureViewRequest::Representation command.request_object = google_cloud_aiplatform_v1_sync_feature_view_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SyncFeatureViewResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SyncFeatureViewResponse 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_featurestore_entity_type_iam_permissions(resource, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 6458 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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, permissions: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 5915 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13012 def (resource, permissions: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+resource}:testIamPermissions', ) command.response_representation = Google::Apis::AiplatformV1::GoogleIamV1TestIamPermissionsResponse::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 3688 def undeploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1_undeploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+endpoint}:undeployModel', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UndeployModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_undeploy_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 8050 def undeploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1_undeploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+indexEndpoint}:undeployIndex', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UndeployIndexRequest::Representation command.request_object = google_cloud_aiplatform_v1_undeploy_index_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Incrementally update the dataset used for an examples model.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11845 def update_project_location_model_explanation_dataset(model, google_cloud_aiplatform_v1_update_explanation_dataset_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+model}:updateExplanationDataset', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpdateExplanationDatasetRequest::Representation command.request_object = google_cloud_aiplatform_v1_update_explanation_dataset_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['model'] = model unless model.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Upgrades a NotebookRuntime.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 13254 def upgrade_project_location_notebook_runtime(name, google_cloud_aiplatform_v1_upgrade_notebook_runtime_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:upgrade', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpgradeNotebookRuntimeRequest::Representation command.request_object = google_cloud_aiplatform_v1_upgrade_notebook_runtime_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#upload_project_location_model(parent, google_cloud_aiplatform_v1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Uploads a Model artifact into Vertex AI.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 11879 def upload_project_location_model(parent, google_cloud_aiplatform_v1_upload_model_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+parent}/models:upload', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UploadModelRequest::Representation command.request_object = google_cloud_aiplatform_v1_upload_model_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpsertDatapointsResponse
Add/update Datapoints into an Index.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 8479 def upsert_project_location_index_datapoints(index, google_cloud_aiplatform_v1_upsert_datapoints_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+index}:upsertDatapoints', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpsertDatapointsRequest::Representation command.request_object = google_cloud_aiplatform_v1_upsert_datapoints_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpsertDatapointsResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1UpsertDatapointsResponse 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::AiplatformV1::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_v1/service.rb', line 681 def wait_project_location_custom_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1052 def wait_project_location_data_labeling_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1619 def wait_project_location_dataset_annotation_spec_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 1897 def wait_project_location_dataset_data_item_annotation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2080 def wait_project_location_dataset_data_item_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2442 def wait_project_location_dataset_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 2703 def wait_project_location_dataset_saved_query_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 3067 def wait_project_location_deployment_resource_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 3872 def wait_project_location_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 4452 def wait_project_location_feature_group_feature_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 4598 def wait_project_location_feature_group_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5320 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, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 5466 def wait_project_location_feature_online_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 6944 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, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7127 def wait_project_location_featurestore_entity_type_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7310 def wait_project_location_featurestore_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 7688 def wait_project_location_hyperparameter_tuning_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8234 def wait_project_location_index_endpoint_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 8663 def wait_project_location_index_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_artifact_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9309 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_context_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 9894 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_execution_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10401 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::GoogleLongrunningOperation command.params['name'] = name unless name.nil? command.query['timeout'] = timeout unless timeout.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#wait_project_location_metadata_store_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::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_v1/service.rb', line 10704 def (name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 10959 def wait_project_location_migratable_resource_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 11454 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, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12173 def wait_project_location_model_evaluation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 12469 def wait_project_location_model_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13438 def wait_project_location_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 13837 def wait_project_location_pipeline_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14506 def wait_project_location_schedule_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 14868 def wait_project_location_specialist_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15221 def wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 15750 def wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16494 def wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 16946 def wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17439 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, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17622 def wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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::AiplatformV1::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_v1/service.rb', line 17998 def wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+name}:wait', ) command.response_representation = Google::Apis::AiplatformV1::GoogleLongrunningOperation::Representation command.response_class = Google::Apis::AiplatformV1::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_v1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesResponse
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_v1/service.rb', line 6495 def write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+entityType}:writeFeatureValues', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesRequest::Representation command.request_object = google_cloud_aiplatform_v1_write_feature_values_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesResponse 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_v1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse
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_v1/service.rb', line 16310 def write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+tensorboardExperiment}:write', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataRequest::Representation command.request_object = google_cloud_aiplatform_v1_write_tensorboard_experiment_data_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse 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_v1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataResponse
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_v1/service.rb', line 16762 def write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, 'v1/{+tensorboardRun}:write', ) command.request_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataRequest::Representation command.request_object = google_cloud_aiplatform_v1_write_tensorboard_run_data_request_object command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataResponse 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 |