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.
Instance Attribute Summary collapse
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#key ⇒ String
API key.
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#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
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#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_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_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_experiment_run_time_series_create(parent, runs_id, 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_time_series_read(tensorboard, experiments_id, runs_id, 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_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.
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#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.
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#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.
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#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.
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#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.
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#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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#delete_project_location_endpoint_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(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.
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#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.
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#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.
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#delete_project_location_featurestore_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_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
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#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.
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#delete_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Index.
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#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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#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.
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#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_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_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_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.
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#delete_project_location_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_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.
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#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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#delete_project_location_schedule_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_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.
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#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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#delete_project_location_study_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_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a Trial.
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#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.
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#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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#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.
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#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.
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#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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#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.
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#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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#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.
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#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.
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#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.
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#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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#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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#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.
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#get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#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.
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#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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#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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#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.
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#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.
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#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.
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#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.
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#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.
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#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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#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.
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#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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#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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#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.
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#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.
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#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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#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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#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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#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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#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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#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.
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#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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#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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#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.
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#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.
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#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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#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.
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#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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#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.
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#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.
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#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.
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#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.
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#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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#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.
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#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.
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#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.
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#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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#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.
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#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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#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.
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#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.
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#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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#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.
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#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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#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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#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.
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#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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#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.
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#list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse
Lists CustomJobs in a Location.
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#list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse
Lists Annotations belongs to a dataitem.
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#list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetVersionsResponse
Lists DatasetVersions in a Dataset.
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#list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse
Lists SavedQueries in a Dataset.
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#list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#list_project_location_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#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.
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#list_project_location_feature_online_store_feature_view_feature_view_syncs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListFeatureViewSyncsResponse
Lists FeatureViewSyncs in a given FeatureView.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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_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_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_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_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.
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#list_project_location_study_trial_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
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#list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_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.
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#list_project_location_tensorboard_experiment_run_time_series(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#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.
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#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.
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#list_project_location_training_pipelines(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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.
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#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.
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#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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#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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#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_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.
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#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.
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#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.
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#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.
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#wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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_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.
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#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.
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#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.
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#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.
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#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.
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#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 46 def initialize super('https://aiplatform.googleapis.com/', '', 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 39 def key @key end |
#quota_user ⇒ String
Returns Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
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# File 'lib/google/apis/aiplatform_v1/service.rb', line 44 def quota_user @quota_user end |
Instance Method Details
#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_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 9056 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 9093 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 9459 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 14348 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 12209 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 6425 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 5399 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 9901 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 11370 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_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 15543 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_experiment_run_time_series_create(parent, runs_id, 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 15997 def batch_project_location_tensorboard_experiment_run_time_series_create(parent, runs_id, 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}/runs/{runsId}/timeSeries: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.params['runsId'] = runs_id unless runs_id.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#batch_project_location_tensorboard_experiment_run_time_series_read(tensorboard, experiments_id, runs_id, time_series: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::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 16043 def batch_project_location_tensorboard_experiment_run_time_series_read(tensorboard, experiments_id, runs_id, time_series: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, 'v1/{+tensorboard}/experiments/{experimentsId}/runs/{runsId}/timeSeries:batchRead', ) command.response_representation = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse::Representation command.response_class = Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchReadTensorboardTimeSeriesDataResponse command.params['tensorboard'] = tensorboard unless tensorboard.nil? command.params['experimentsId'] = experiments_id unless experiments_id.nil? command.params['runsId'] = runs_id unless runs_id.nil? command.query['timeSeries'] = time_series unless time_series.nil? command.query['fields'] = fields unless fields.nil? command.query['quotaUser'] = quota_user unless quota_user.nil? execute_or_queue_command(command, &block) end |
#cancel_project_location_batch_prediction_job(name, google_cloud_aiplatform_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 154 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 346 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 534 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 712 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 905 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 1472 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 1750 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 1933 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 2295 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 2556 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 2920 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 3622 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 6694 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 6877 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 7060 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 7247 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 7438 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 7984 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 8413 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_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 9977 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 10472 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 11191 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 11487 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 11671 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 12420 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 12605 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 12819 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 13454 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 13816 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 14169 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 14698 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 15363 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 15815 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 16393 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 16576 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 16761 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 16952 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 14384 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 14418 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 3098 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 12997 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 10654 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 3132 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 13031 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 189 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 381 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 746 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 1083 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 2111 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 2734 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 3176 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 3805 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 4012 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 4531 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 4744 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 5438 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 5848 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 6467 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 7281 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 8162 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 7616 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 8599 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 8750 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 9136 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 9502 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 9789 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 10156 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 11705 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 11925 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 12644 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 13171 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 13632 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 13994 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 14452 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 14876 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 15131 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 15582 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 16083 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 16796 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 223 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 414 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 567 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 779 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 938 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 1116 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 1505 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 1783 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 1966 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 2145 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 2328 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 2472 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 2589 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 2768 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 2953 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 3210 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 3655 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 3842 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 4048 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 4235 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 4381 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 4570 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 4780 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 5103 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 5249 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 5477 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 5886 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 6503 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 6727 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 5926 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 6910 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 7093 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 7315 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 7471 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 8196 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 7649 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 8017 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 8446 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 8636 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 8789 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_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 9178 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_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 9541 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_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 10010 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 10688 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 10190 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 10505 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 11224 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 11520 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 10722 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 11738 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 12244 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 11960 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 12453 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 12678 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 12852 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 13204 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 13487 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 13669 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 13849 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 14027 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 14202 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 14485 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 14731 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 14909 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 15166 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 15396 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 15617 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 15848 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 16118 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 16426 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 16609 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 16829 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 16985 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 3242 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 7683 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 |
#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 3279 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 1148 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 5961 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 10757 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 16151 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 4812 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 7717 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 73 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 254 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 445 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 598 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 810 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 969 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 1182 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 1434 def get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1536 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 1814 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 1997 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 2179 def get_project_location_dataset_dataset_version(name, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2359 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 2620 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 2800 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 2984 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 3312 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 3686 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 3873 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 4081 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 4266 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 4412 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 4601 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 4846 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 5015 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 5134 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 5280 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 5508 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 5994 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 6536 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 6758 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 6038 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 6941 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 5552 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 7124 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 7347 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 7502 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 8227 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 7750 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 8048 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 8477 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 8668 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 8822 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_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 9212 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_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 9574 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_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 9824 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_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 10041 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 10796 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 10222 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 10536 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 11075 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 11255 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 11404 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 11551 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 11769 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 11852 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 12276 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 11992 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 12036 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 12484 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 12709 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 12883 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 13235 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 13518 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 13701 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 13880 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 14058 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 14233 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 14516 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 14762 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 14940 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 15198 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 15427 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 15649 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 15879 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 16185 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 16457 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 16640 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 16860 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 17016 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 17134 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 1215 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 6084 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 11107 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 304 def list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 635 def list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 493 def list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1006 def list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 863 def list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1573 def list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1851 def list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1708 def list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2034 def list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1660 def list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2222 def list_project_location_dataset_dataset_versions(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2396 def list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2514 def list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2657 def list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 1266 def list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 3021 def list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 2839 def list_project_location_deployment_resource_pools(parent, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 3723 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 3364 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 4303 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 4148 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 4449 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 3926 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 5066 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 5171 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 4902 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 5317 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 4656 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 6795 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 6603 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 6978 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 6143 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 7161 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 5609 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 7539 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 7397 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 8085 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 7800 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 8514 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 8267 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_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 8886 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_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 9276 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_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 9638 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 9865 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_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 8707 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 10078 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 10573 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 10269 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 11292 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 11446 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 11150 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 11588 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 10899 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 10847 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 11889 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 11817 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 12093 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 12342 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 12521 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 12920 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 12777 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 13555 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 13297 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 13917 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 13740 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 14095 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 14270 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 14799 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 14588 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 14553 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 15464 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 15916 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 16232 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 16494 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 15696 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 15244 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 16677 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 14986 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 17053 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 16911 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 113 def list_project_locations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 14130 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 10937 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 3405 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 7837 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 1306 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 3441 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 3969 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 4199 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 4700 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 4946 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 5654 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 6198 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 6654 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 8305 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 7873 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 8925 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 9315 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 9677 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 10973 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 10324 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 13339 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 13776 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 15029 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 15287 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 15739 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 16274 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 10362 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 13376 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 3476 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 13065 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 8961 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 9351 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 9713 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 2881 def query_project_location_deployment_resource_pool_deployed_models(deployment_resource_pool, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 9020 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 9389 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 9748 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 3513 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 13102 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 6237 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 7909 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 16317 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 16355 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 15063 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 15094 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 8340 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 9422 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 2258 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 10398 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 13415 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 1388 def search_project_location_dataset_data_items(dataset, annotation_filters: nil, annotations_filter: nil, annotations_limit: nil, data_item_filter: nil, data_labeling_job: nil, field_mask: nil, order_by: nil, order_by_annotation_order_by: nil, order_by_annotation_saved_query: nil, order_by_data_item: nil, page_size: nil, page_token: nil, saved_query: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:get, '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 5730 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 9938 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 10433 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 3548 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 13137 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 6274 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 5768 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 12133 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 12381 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 14622 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 |
#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 6311 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 14659 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 4981 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 6353 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 5810 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 12175 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 3583 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 7945 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 11008 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 |
#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 11042 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 8374 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 679 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 1050 def wait_project_location_data_labeling_job_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 1617 def wait_project_location_dataset_annotation_spec_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 1895 def wait_project_location_dataset_data_item_annotation_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 2078 def wait_project_location_dataset_data_item_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 2440 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 2701 def wait_project_location_dataset_saved_query_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 3065 def wait_project_location_deployment_resource_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil, &block) command = make_simple_command(:post, '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 3767 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 4347 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 4493 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 5215 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 5361 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 6839 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 7022 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 7205 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 7583 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 8129 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 8558 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_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 10122 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 10617 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 11336 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 11632 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 12565 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 12964 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 13599 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 13961 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 14314 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 14843 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 15508 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 15960 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 16538 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 16721 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 17097 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 6390 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 15324 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 15776 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 |