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
-
#key ⇒ String
API key.
-
#quota_user ⇒ String
Available to use for quota purposes for server-side applications.
Instance Method Summary collapse
-
#add_project_location_metadata_store_context_context_artifacts_and_executions(context, google_cloud_aiplatform_v1_add_context_artifacts_and_executions_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AddContextArtifactsAndExecutionsResponse
Adds a set of Artifacts and Executions to a Context.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#cancel_project_location_nas_job(name, google_cloud_aiplatform_v1_cancel_nas_job_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Cancels a NasJob.
-
#cancel_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Starts asynchronous cancellation on a long-running operation.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#create_project_location_study_trial(parent, google_cloud_aiplatform_v1_trial_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Adds a user provided Trial to a Study.
-
#create_project_location_tensorboard(parent, google_cloud_aiplatform_v1_tensorboard_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Creates a Tensorboard.
-
#create_project_location_tensorboard_experiment(parent, google_cloud_aiplatform_v1_tensorboard_experiment_object = nil, tensorboard_experiment_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Creates a TensorboardExperiment.
-
#create_project_location_tensorboard_experiment_run(parent, google_cloud_aiplatform_v1_tensorboard_run_object = nil, tensorboard_run_id: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Creates a TensorboardRun.
-
#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.
-
#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.
-
#delete_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a BatchPredictionJob.
-
#delete_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a CustomJob.
-
#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.
-
#delete_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a DataLabelingJob.
-
#delete_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Dataset.
-
#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.
-
#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.
-
#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.
-
#delete_project_location_dataset_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_dataset_saved_query(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a SavedQuery.
-
#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.
-
#delete_project_location_deployment_resource_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Endpoint.
-
#delete_project_location_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single Featurestore.
-
#delete_project_location_featurestore_entity_type(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single EntityType.
-
#delete_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a single Feature.
-
#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.
-
#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.
-
#delete_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a HyperparameterTuningJob.
-
#delete_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an Index.
-
#delete_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes an IndexEndpoint.
-
#delete_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#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).
-
#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.
-
#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.
-
#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.
-
#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.
-
#delete_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Model.
-
#delete_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a ModelDeploymentMonitoringJob.
-
#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.
-
#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.
-
#delete_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_model_version(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Model version.
-
#delete_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NasJob.
-
#delete_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntime.
-
#delete_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a NotebookRuntimeTemplate.
-
#delete_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a PipelineJob.
-
#delete_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Schedule.
-
#delete_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_specialist_pool(name, force: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a SpecialistPool as well as all Specialists in the pool.
-
#delete_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a Study.
-
#delete_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a Trial.
-
#delete_project_location_study_trial_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a Tensorboard.
-
#delete_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardExperiment.
-
#delete_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardRun.
-
#delete_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TensorboardTimeSeries.
-
#delete_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#delete_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deletes a TrainingPipeline.
-
#delete_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleProtobufEmpty
Deletes a long-running operation.
-
#deploy_project_location_endpoint_model(endpoint, google_cloud_aiplatform_v1_deploy_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deploys a Model into this Endpoint, creating a DeployedModel within it.
-
#deploy_project_location_index_endpoint_index(index_endpoint, google_cloud_aiplatform_v1_deploy_index_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
-
#explain_project_location_endpoint(endpoint, google_cloud_aiplatform_v1_explain_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExplainResponse
Perform an online explanation.
-
#export_project_location_dataset(name, google_cloud_aiplatform_v1_export_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports data from a Dataset.
-
#export_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_export_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports Feature values from all the entities of a target EntityType.
-
#export_project_location_model(name, google_cloud_aiplatform_v1_export_model_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Exports a trained, exportable Model to a location specified by the user.
-
#export_project_location_tensorboard_experiment_run_time_series_tensorboard_time_series(tensorboard_time_series, google_cloud_aiplatform_v1_export_tensorboard_time_series_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ExportTensorboardTimeSeriesDataResponse
Exports a TensorboardTimeSeries' data.
-
#find_project_location_index_endpoint_neighbors(index_endpoint, google_cloud_aiplatform_v1_find_neighbors_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FindNeighborsResponse
Finds the nearest neighbors of each vector within the request.
-
#get_project_location(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudLocationLocation
Gets information about a location.
-
#get_project_location_batch_prediction_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1BatchPredictionJob
Gets a BatchPredictionJob.
-
#get_project_location_custom_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1CustomJob
Gets a CustomJob.
-
#get_project_location_custom_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_data_labeling_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob
Gets a DataLabelingJob.
-
#get_project_location_data_labeling_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Dataset
Gets a Dataset.
-
#get_project_location_dataset_annotation_spec(name, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1AnnotationSpec
Gets an AnnotationSpec.
-
#get_project_location_dataset_annotation_spec_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_data_item_annotation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_data_item_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_dataset_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_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_featurestore(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore
Gets details of a single Featurestore.
-
#get_project_location_featurestore_entity_type(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EntityType
Gets details of a single EntityType.
-
#get_project_location_featurestore_entity_type_feature(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Feature
Gets details of a single Feature.
-
#get_project_location_featurestore_entity_type_feature_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore_entity_type_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_featurestore_entity_type_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_featurestore_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_featurestore_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_hyperparameter_tuning_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1HyperparameterTuningJob
Gets a HyperparameterTuningJob.
-
#get_project_location_hyperparameter_tuning_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_index(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Index
Gets an Index.
-
#get_project_location_index_endpoint(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1IndexEndpoint
Gets an IndexEndpoint.
-
#get_project_location_index_endpoint_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_index_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_metadata_store(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataStore
Retrieves a specific MetadataStore.
-
#get_project_location_metadata_store_artifact(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Artifact
Retrieves a specific Artifact.
-
#get_project_location_metadata_store_context(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Context
Retrieves a specific Context.
-
#get_project_location_metadata_store_execution(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Execution
Retrieves a specific Execution.
-
#get_project_location_metadata_store_metadata_schema(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1MetadataSchema
Retrieves a specific MetadataSchema.
-
#get_project_location_migratable_resource_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Model
Gets a Model.
-
#get_project_location_model_deployment_monitoring_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelDeploymentMonitoringJob
Gets a ModelDeploymentMonitoringJob.
-
#get_project_location_model_deployment_monitoring_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
Gets a ModelEvaluation.
-
#get_project_location_model_evaluation_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_model_evaluation_slice(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluationSlice
Gets a ModelEvaluationSlice.
-
#get_project_location_model_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_nas_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasJob
Gets a NasJob.
-
#get_project_location_nas_job_nas_trial_detail(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NasTrialDetail
Gets a NasTrialDetail.
-
#get_project_location_notebook_runtime(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntime
Gets a NotebookRuntime.
-
#get_project_location_notebook_runtime_template(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1NotebookRuntimeTemplate
Gets a NotebookRuntimeTemplate.
-
#get_project_location_notebook_runtime_template_iam_policy(resource, options_requested_policy_version: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleIamV1Policy
Gets the access control policy for a resource.
-
#get_project_location_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_pipeline_job(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PipelineJob
Gets a PipelineJob.
-
#get_project_location_pipeline_job_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_schedule(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Schedule
Gets a Schedule.
-
#get_project_location_schedule_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_specialist_pool(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SpecialistPool
Gets a SpecialistPool.
-
#get_project_location_specialist_pool_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_study(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Study
Gets a Study by name.
-
#get_project_location_study_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_study_trial(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Trial
Gets a Trial.
-
#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.
-
#get_project_location_tensorboard(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Tensorboard
Gets a Tensorboard.
-
#get_project_location_tensorboard_experiment(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardExperiment
Gets a TensorboardExperiment.
-
#get_project_location_tensorboard_experiment_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_tensorboard_experiment_run(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardRun
Gets a TensorboardRun.
-
#get_project_location_tensorboard_experiment_run_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_tensorboard_experiment_run_time_series(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TensorboardTimeSeries
Gets a TensorboardTimeSeries.
-
#get_project_location_tensorboard_experiment_run_time_series_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_tensorboard_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_project_location_training_pipeline(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TrainingPipeline
Gets a TrainingPipeline.
-
#get_project_location_training_pipeline_operation(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Gets the latest state of a long-running operation.
-
#get_publisher_model(name, language_code: nil, view: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1PublisherModel
Gets a Model Garden publisher model.
-
#import_project_location_dataset(name, google_cloud_aiplatform_v1_import_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Imports data into a Dataset.
-
#import_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_import_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Imports Feature values into the Featurestore from a source storage.
-
#import_project_location_model_evaluation(parent, google_cloud_aiplatform_v1_import_model_evaluation_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelEvaluation
Imports an externally generated ModelEvaluation.
-
#initialize ⇒ AiplatformService
constructor
A new instance of AiplatformService.
-
#list_project_location_batch_prediction_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListBatchPredictionJobsResponse
Lists BatchPredictionJobs in a Location.
-
#list_project_location_custom_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_custom_jobs(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListCustomJobsResponse
Lists CustomJobs in a Location.
-
#list_project_location_data_labeling_job_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_data_labeling_jobs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataLabelingJobsResponse
Lists DataLabelingJobs in a Location.
-
#list_project_location_dataset_annotation_spec_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_dataset_data_item_annotation_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_dataset_data_item_annotations(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListAnnotationsResponse
Lists Annotations belongs to a dataitem.
-
#list_project_location_dataset_data_item_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_dataset_data_items(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDataItemsResponse
Lists DataItems in a Dataset.
-
#list_project_location_dataset_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_dataset_saved_queries(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListSavedQueriesResponse
Lists SavedQueries in a Dataset.
-
#list_project_location_dataset_saved_query_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_datasets(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListDatasetsResponse
Lists Datasets in a Location.
-
#list_project_location_deployment_resource_pool_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_endpoint_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_endpoints(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListEndpointsResponse
Lists Endpoints in a Location.
-
#list_project_location_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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#list_project_location_study_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_study_trial_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_study_trial_optimal_trials(parent, google_cloud_aiplatform_v1_list_optimal_trials_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListOptimalTrialsResponse
Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
-
#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.
-
#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.
-
#list_project_location_tensorboard_experiment_run_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboard_experiment_run_time_series(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardTimeSeriesResponse
Lists TensorboardTimeSeries in a Location.
-
#list_project_location_tensorboard_experiment_run_time_series_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboard_experiment_runs(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardRunsResponse
Lists TensorboardRuns in a Location.
-
#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.
-
#list_project_location_tensorboard_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_tensorboards(parent, filter: nil, order_by: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTensorboardsResponse
Lists Tensorboards in a Location.
-
#list_project_location_training_pipeline_operations(name, filter: nil, page_size: nil, page_token: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningListOperationsResponse
Lists operations that match the specified filter in the request.
-
#list_project_location_training_pipelines(parent, filter: nil, page_size: nil, page_token: nil, read_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ListTrainingPipelinesResponse
Lists TrainingPipelines in a Location.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#patch_project_location_specialist_pool(name, google_cloud_aiplatform_v1_specialist_pool_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a SpecialistPool.
-
#patch_project_location_tensorboard(name, google_cloud_aiplatform_v1_tensorboard_object = nil, update_mask: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Updates a Tensorboard.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#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.
-
#wait_project_location_specialist_pool_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_study_trial_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_experiment_run_time_series_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_tensorboard_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#wait_project_location_training_pipeline_operation(name, timeout: nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleLongrunningOperation
Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.
-
#write_project_location_featurestore_entity_type_feature_values(entity_type, google_cloud_aiplatform_v1_write_feature_values_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteFeatureValuesResponse
Writes Feature values of one or more entities of an EntityType.
-
#write_project_location_tensorboard_experiment(tensorboard_experiment, google_cloud_aiplatform_v1_write_tensorboard_experiment_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardExperimentDataResponse
Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
-
#write_project_location_tensorboard_experiment_run(tensorboard_run, google_cloud_aiplatform_v1_write_tensorboard_run_data_request_object = nil, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1WriteTensorboardRunDataResponse
Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.
Constructor Details
#initialize ⇒ AiplatformService
Returns a new instance of AiplatformService.
46 47 48 49 50 51 |
# 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.
39 40 41 |
# 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.
44 45 46 |
# 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.
7025 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7025 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.
7062 7063 7064 7065 7066 7067 7068 7069 7070 7071 7072 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7062 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.
7428 7429 7430 7431 7432 7433 7434 7435 7436 7437 7438 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7428 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.
12246 12247 12248 12249 12250 12251 12252 12253 12254 12255 12256 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12246 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.
10177 10178 10179 10180 10181 10182 10183 10184 10185 10186 10187 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10177 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.
4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4403 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.
3377 3378 3379 3380 3381 3382 3383 3384 3385 3386 3387 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3377 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.
7870 7871 7872 7873 7874 7875 7876 7877 7878 7879 7880 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7870 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.
9339 9340 9341 9342 9343 9344 9345 9346 9347 9348 9349 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9339 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.
13441 13442 13443 13444 13445 13446 13447 13448 13449 13450 13451 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13441 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.
13895 13896 13897 13898 13899 13900 13901 13902 13903 13904 13905 13906 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13895 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.
13941 13942 13943 13944 13945 13946 13947 13948 13949 13950 13951 13952 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13941 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.
154 155 156 157 158 159 160 161 162 163 164 |
# 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.
346 347 348 349 350 351 352 353 354 355 356 |
# 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.
534 535 536 537 538 539 540 541 542 |
# 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.
712 713 714 715 716 717 718 719 720 721 722 |
# 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.
905 906 907 908 909 910 911 912 913 |
# 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.
1472 1473 1474 1475 1476 1477 1478 1479 1480 |
# 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.
1750 1751 1752 1753 1754 1755 1756 1757 1758 |
# 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.
1933 1934 1935 1936 1937 1938 1939 1940 1941 |
# 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.
2116 2117 2118 2119 2120 2121 2122 2123 2124 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2116 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.
2377 2378 2379 2380 2381 2382 2383 2384 2385 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2377 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.
2560 2561 2562 2563 2564 2565 2566 2567 2568 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2560 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.
3194 3195 3196 3197 3198 3199 3200 3201 3202 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3194 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.
4663 4664 4665 4666 4667 4668 4669 4670 4671 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4663 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.
4846 4847 4848 4849 4850 4851 4852 4853 4854 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4846 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.
5029 5030 5031 5032 5033 5034 5035 5036 5037 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5029 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.
5216 5217 5218 5219 5220 5221 5222 5223 5224 5225 5226 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5216 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.
5407 5408 5409 5410 5411 5412 5413 5414 5415 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5407 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.
5953 5954 5955 5956 5957 5958 5959 5960 5961 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5953 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.
6382 6383 6384 6385 6386 6387 6388 6389 6390 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6382 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.
7946 7947 7948 7949 7950 7951 7952 7953 7954 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7946 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.
8441 8442 8443 8444 8445 8446 8447 8448 8449 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8441 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.
9160 9161 9162 9163 9164 9165 9166 9167 9168 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9160 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.
9456 9457 9458 9459 9460 9461 9462 9463 9464 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9456 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.
9640 9641 9642 9643 9644 9645 9646 9647 9648 9649 9650 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9640 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.
10386 10387 10388 10389 10390 10391 10392 10393 10394 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10386 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.
10571 10572 10573 10574 10575 10576 10577 10578 10579 10580 10581 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10571 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.
10785 10786 10787 10788 10789 10790 10791 10792 10793 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10785 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.
11352 11353 11354 11355 11356 11357 11358 11359 11360 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11352 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.
11714 11715 11716 11717 11718 11719 11720 11721 11722 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11714 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.
12067 12068 12069 12070 12071 12072 12073 12074 12075 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12067 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.
12596 12597 12598 12599 12600 12601 12602 12603 12604 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12596 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.
13261 13262 13263 13264 13265 13266 13267 13268 13269 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13261 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.
13713 13714 13715 13716 13717 13718 13719 13720 13721 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13713 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.
14291 14292 14293 14294 14295 14296 14297 14298 14299 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14291 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.
14474 14475 14476 14477 14478 14479 14480 14481 14482 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14474 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.
14659 14660 14661 14662 14663 14664 14665 14666 14667 14668 14669 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14659 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.
14850 14851 14852 14853 14854 14855 14856 14857 14858 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14850 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.
12282 12283 12284 12285 12286 12287 12288 12289 12290 12291 12292 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12282 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.
12316 12317 12318 12319 12320 12321 12322 12323 12324 12325 12326 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12316 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 |
#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.
8623 8624 8625 8626 8627 8628 8629 8630 8631 8632 8633 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8623 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 |
#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.
189 190 191 192 193 194 195 196 197 198 199 |
# 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.
381 382 383 384 385 386 387 388 389 390 391 |
# 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.
746 747 748 749 750 751 752 753 754 755 756 |
# 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.
1083 1084 1085 1086 1087 1088 1089 1090 1091 1092 1093 |
# 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_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.
2748 2749 2750 2751 2752 2753 2754 2755 2756 2757 2758 2759 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2748 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_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.
3416 3417 3418 3419 3420 3421 3422 3423 3424 3425 3426 3427 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3416 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.
3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3826 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.
4443 4444 4445 4446 4447 4448 4449 4450 4451 4452 4453 4454 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4443 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
5250 5251 5252 5253 5254 5255 5256 5257 5258 5259 5260 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5250 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.
6131 6132 6133 6134 6135 6136 6137 6138 6139 6140 6141 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6131 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.
5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5585 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.
6568 6569 6570 6571 6572 6573 6574 6575 6576 6577 6578 6579 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6568 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.
6719 6720 6721 6722 6723 6724 6725 6726 6727 6728 6729 6730 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6719 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.
7105 7106 7107 7108 7109 7110 7111 7112 7113 7114 7115 7116 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7105 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.
7471 7472 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7471 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.
7758 7759 7760 7761 7762 7763 7764 7765 7766 7767 7768 7769 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7758 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.
8125 8126 8127 8128 8129 8130 8131 8132 8133 8134 8135 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8125 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
9674 9675 9676 9677 9678 9679 9680 9681 9682 9683 9684 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9674 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.
9894 9895 9896 9897 9898 9899 9900 9901 9902 9903 9904 9905 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9894 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.
10610 10611 10612 10613 10614 10615 10616 10617 10618 10619 10620 10621 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10610 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.
11069 11070 11071 11072 11073 11074 11075 11076 11077 11078 11079 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11069 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.
11530 11531 11532 11533 11534 11535 11536 11537 11538 11539 11540 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11530 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.
11892 11893 11894 11895 11896 11897 11898 11899 11900 11901 11902 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11892 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.
12350 12351 12352 12353 12354 12355 12356 12357 12358 12359 12360 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12350 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.
12774 12775 12776 12777 12778 12779 12780 12781 12782 12783 12784 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12774 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.
13029 13030 13031 13032 13033 13034 13035 13036 13037 13038 13039 13040 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13029 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.
13480 13481 13482 13483 13484 13485 13486 13487 13488 13489 13490 13491 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13480 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.
13981 13982 13983 13984 13985 13986 13987 13988 13989 13990 13991 13992 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13981 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.
14694 14695 14696 14697 14698 14699 14700 14701 14702 14703 14704 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14694 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.
223 224 225 226 227 228 229 230 231 |
# 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.
414 415 416 417 418 419 420 421 422 |
# 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.
567 568 569 570 571 572 573 574 575 |
# 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.
779 780 781 782 783 784 785 786 787 |
# 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.
938 939 940 941 942 943 944 945 946 |
# 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.
1116 1117 1118 1119 1120 1121 1122 1123 1124 |
# 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.
1505 1506 1507 1508 1509 1510 1511 1512 1513 |
# 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.
1783 1784 1785 1786 1787 1788 1789 1790 1791 |
# 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.
1966 1967 1968 1969 1970 1971 1972 1973 1974 |
# 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_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.
2149 2150 2151 2152 2153 2154 2155 2156 2157 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2149 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.
2293 2294 2295 2296 2297 2298 2299 2300 2301 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2293 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.
2410 2411 2412 2413 2414 2415 2416 2417 2418 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2410 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_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.
2593 2594 2595 2596 2597 2598 2599 2600 2601 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2593 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.
2782 2783 2784 2785 2786 2787 2788 2789 2790 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2782 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.
3227 3228 3229 3230 3231 3232 3233 3234 3235 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3227 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_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.
3455 3456 3457 3458 3459 3460 3461 3462 3463 3464 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3455 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.
3864 3865 3866 3867 3868 3869 3870 3871 3872 3873 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3864 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.
4478 4479 4480 4481 4482 4483 4484 4485 4486 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4478 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.
4696 4697 4698 4699 4700 4701 4702 4703 4704 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4696 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.
3904 3905 3906 3907 3908 3909 3910 3911 3912 3913 3914 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3904 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.
4879 4880 4881 4882 4883 4884 4885 4886 4887 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4879 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.
5062 5063 5064 5065 5066 5067 5068 5069 5070 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5062 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.
5284 5285 5286 5287 5288 5289 5290 5291 5292 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5284 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.
5440 5441 5442 5443 5444 5445 5446 5447 5448 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5440 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.
6165 6166 6167 6168 6169 6170 6171 6172 6173 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6165 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.
5618 5619 5620 5621 5622 5623 5624 5625 5626 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5618 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.
5986 5987 5988 5989 5990 5991 5992 5993 5994 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5986 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.
6415 6416 6417 6418 6419 6420 6421 6422 6423 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6415 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).
6605 6606 6607 6608 6609 6610 6611 6612 6613 6614 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6605 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.
6758 6759 6760 6761 6762 6763 6764 6765 6766 6767 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6758 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.
7147 7148 7149 7150 7151 7152 7153 7154 7155 7156 7157 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7147 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.
7510 7511 7512 7513 7514 7515 7516 7517 7518 7519 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7510 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.
7979 7980 7981 7982 7983 7984 7985 7986 7987 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7979 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.
8657 8658 8659 8660 8661 8662 8663 8664 8665 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8657 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.
8159 8160 8161 8162 8163 8164 8165 8166 8167 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8159 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.
8474 8475 8476 8477 8478 8479 8480 8481 8482 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8474 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.
9193 9194 9195 9196 9197 9198 9199 9200 9201 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9193 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.
9489 9490 9491 9492 9493 9494 9495 9496 9497 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9489 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.
8691 8692 8693 8694 8695 8696 8697 8698 8699 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8691 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.
9707 9708 9709 9710 9711 9712 9713 9714 9715 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9707 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.
10212 10213 10214 10215 10216 10217 10218 10219 10220 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10212 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.
9929 9930 9931 9932 9933 9934 9935 9936 9937 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9929 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.
10419 10420 10421 10422 10423 10424 10425 10426 10427 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10419 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.
10644 10645 10646 10647 10648 10649 10650 10651 10652 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10644 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.
10818 10819 10820 10821 10822 10823 10824 10825 10826 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10818 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.
11102 11103 11104 11105 11106 11107 11108 11109 11110 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11102 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.
11385 11386 11387 11388 11389 11390 11391 11392 11393 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11385 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.
11567 11568 11569 11570 11571 11572 11573 11574 11575 11576 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11567 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.
11747 11748 11749 11750 11751 11752 11753 11754 11755 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11747 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.
11925 11926 11927 11928 11929 11930 11931 11932 11933 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11925 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.
12100 12101 12102 12103 12104 12105 12106 12107 12108 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12100 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.
12383 12384 12385 12386 12387 12388 12389 12390 12391 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12383 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.
12629 12630 12631 12632 12633 12634 12635 12636 12637 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12629 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.
12807 12808 12809 12810 12811 12812 12813 12814 12815 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12807 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.
13064 13065 13066 13067 13068 13069 13070 13071 13072 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13064 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.
13294 13295 13296 13297 13298 13299 13300 13301 13302 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13294 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.
13515 13516 13517 13518 13519 13520 13521 13522 13523 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13515 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.
13746 13747 13748 13749 13750 13751 13752 13753 13754 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13746 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.
14016 14017 14018 14019 14020 14021 14022 14023 14024 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14016 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.
14324 14325 14326 14327 14328 14329 14330 14331 14332 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14324 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.
14507 14508 14509 14510 14511 14512 14513 14514 14515 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14507 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.
14727 14728 14729 14730 14731 14732 14733 14734 14735 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14727 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.
14883 14884 14885 14886 14887 14888 14889 14890 14891 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14883 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.
2814 2815 2816 2817 2818 2819 2820 2821 2822 2823 2824 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2814 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.
5652 5653 5654 5655 5656 5657 5658 5659 5660 5661 5662 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5652 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.
2851 2852 2853 2854 2855 2856 2857 2858 2859 2860 2861 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2851 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.
1148 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 |
# 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.
3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3939 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.
8726 8727 8728 8729 8730 8731 8732 8733 8734 8735 8736 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8726 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.
14049 14050 14051 14052 14053 14054 14055 14056 14057 14058 14059 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14049 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 |
#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.
5686 5687 5688 5689 5690 5691 5692 5693 5694 5695 5696 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5686 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.
73 74 75 76 77 78 79 80 81 |
# 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
254 255 256 257 258 259 260 261 262 |
# 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.
445 446 447 448 449 450 451 452 453 |
# 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.
598 599 600 601 602 603 604 605 606 |
# 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.
810 811 812 813 814 815 816 817 818 |
# 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.
969 970 971 972 973 974 975 976 977 |
# 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.
1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 |
# 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.
1434 1435 1436 1437 1438 1439 1440 1441 1442 1443 |
# 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.
1536 1537 1538 1539 1540 1541 1542 1543 1544 |
# 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.
1814 1815 1816 1817 1818 1819 1820 1821 1822 |
# 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.
1997 1998 1999 2000 2001 2002 2003 2004 2005 |
# 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_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.
2180 2181 2182 2183 2184 2185 2186 2187 2188 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2180 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.
2441 2442 2443 2444 2445 2446 2447 2448 2449 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2441 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_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.
2624 2625 2626 2627 2628 2629 2630 2631 2632 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2624 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.
2884 2885 2886 2887 2888 2889 2890 2891 2892 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2884 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.
3258 3259 3260 3261 3262 3263 3264 3265 3266 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3258 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_featurestore(name, fields: nil, quota_user: nil, options: nil) {|result, err| ... } ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Featurestore
Gets details of a single Featurestore.
3486 3487 3488 3489 3490 3491 3492 3493 3494 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3486 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.
3972 3973 3974 3975 3976 3977 3978 3979 3980 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3972 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.
4509 4510 4511 4512 4513 4514 4515 4516 4517 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4509 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.
4727 4728 4729 4730 4731 4732 4733 4734 4735 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4727 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.
4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4016 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.
4910 4911 4912 4913 4914 4915 4916 4917 4918 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4910 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.
3530 3531 3532 3533 3534 3535 3536 3537 3538 3539 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3530 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.
5093 5094 5095 5096 5097 5098 5099 5100 5101 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5093 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
5316 5317 5318 5319 5320 5321 5322 5323 5324 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5316 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.
5471 5472 5473 5474 5475 5476 5477 5478 5479 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5471 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.
6196 6197 6198 6199 6200 6201 6202 6203 6204 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6196 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.
5719 5720 5721 5722 5723 5724 5725 5726 5727 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5719 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.
6017 6018 6019 6020 6021 6022 6023 6024 6025 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6017 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.
6446 6447 6448 6449 6450 6451 6452 6453 6454 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6446 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.
6637 6638 6639 6640 6641 6642 6643 6644 6645 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6637 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.
6791 6792 6793 6794 6795 6796 6797 6798 6799 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6791 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.
7181 7182 7183 7184 7185 7186 7187 7188 7189 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7181 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.
7543 7544 7545 7546 7547 7548 7549 7550 7551 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7543 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.
7793 7794 7795 7796 7797 7798 7799 7800 7801 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7793 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.
8010 8011 8012 8013 8014 8015 8016 8017 8018 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8010 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.
8765 8766 8767 8768 8769 8770 8771 8772 8773 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8765 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.
8191 8192 8193 8194 8195 8196 8197 8198 8199 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8191 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.
8505 8506 8507 8508 8509 8510 8511 8512 8513 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8505 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.
9044 9045 9046 9047 9048 9049 9050 9051 9052 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9044 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.
9224 9225 9226 9227 9228 9229 9230 9231 9232 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9224 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.
9373 9374 9375 9376 9377 9378 9379 9380 9381 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9373 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.
9520 9521 9522 9523 9524 9525 9526 9527 9528 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9520 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
9738 9739 9740 9741 9742 9743 9744 9745 9746 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9738 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.
9821 9822 9823 9824 9825 9826 9827 9828 9829 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9821 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.
10244 10245 10246 10247 10248 10249 10250 10251 10252 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10244 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.
9961 9962 9963 9964 9965 9966 9967 9968 9969 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9961 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.
10005 10006 10007 10008 10009 10010 10011 10012 10013 10014 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10005 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.
10450 10451 10452 10453 10454 10455 10456 10457 10458 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10450 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.
10675 10676 10677 10678 10679 10680 10681 10682 10683 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10675 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.
10849 10850 10851 10852 10853 10854 10855 10856 10857 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10849 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.
11133 11134 11135 11136 11137 11138 11139 11140 11141 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11133 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.
11416 11417 11418 11419 11420 11421 11422 11423 11424 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11416 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.
11599 11600 11601 11602 11603 11604 11605 11606 11607 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11599 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.
11778 11779 11780 11781 11782 11783 11784 11785 11786 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11778 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.
11956 11957 11958 11959 11960 11961 11962 11963 11964 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11956 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.
12131 12132 12133 12134 12135 12136 12137 12138 12139 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12131 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.
12414 12415 12416 12417 12418 12419 12420 12421 12422 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12414 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.
12660 12661 12662 12663 12664 12665 12666 12667 12668 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12660 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.
12838 12839 12840 12841 12842 12843 12844 12845 12846 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12838 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.
13096 13097 13098 13099 13100 13101 13102 13103 13104 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13096 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.
13325 13326 13327 13328 13329 13330 13331 13332 13333 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13325 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.
13547 13548 13549 13550 13551 13552 13553 13554 13555 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13547 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.
13777 13778 13779 13780 13781 13782 13783 13784 13785 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13777 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.
14083 14084 14085 14086 14087 14088 14089 14090 14091 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14083 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.
14355 14356 14357 14358 14359 14360 14361 14362 14363 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14355 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.
14538 14539 14540 14541 14542 14543 14544 14545 14546 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14538 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.
14758 14759 14760 14761 14762 14763 14764 14765 14766 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14758 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.
14914 14915 14916 14917 14918 14919 14920 14921 14922 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14914 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.
15032 15033 15034 15035 15036 15037 15038 15039 15040 15041 15042 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 15032 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.
1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 |
# 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.
4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4062 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.
9076 9077 9078 9079 9080 9081 9082 9083 9084 9085 9086 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9076 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.
304 305 306 307 308 309 310 311 312 313 314 315 316 |
# 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.
635 636 637 638 639 640 641 642 643 644 645 646 |
# 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.
493 494 495 496 497 498 499 500 501 502 503 504 505 |
# 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.
1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 |
# 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.
863 864 865 866 867 868 869 870 871 872 873 874 875 876 |
# 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.
1573 1574 1575 1576 1577 1578 1579 1580 1581 1582 1583 1584 |
# 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.
1851 1852 1853 1854 1855 1856 1857 1858 1859 1860 1861 1862 |
# 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
1708 1709 1710 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 |
# 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.
2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 |
# 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.
1660 1661 1662 1663 1664 1665 1666 1667 1668 1669 1670 1671 1672 1673 |
# 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_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.
2217 2218 2219 2220 2221 2222 2223 2224 2225 2226 2227 2228 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2217 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.
2335 2336 2337 2338 2339 2340 2341 2342 2343 2344 2345 2346 2347 2348 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2335 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.
2478 2479 2480 2481 2482 2483 2484 2485 2486 2487 2488 2489 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2478 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.
1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 |
# 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.
2661 2662 2663 2664 2665 2666 2667 2668 2669 2670 2671 2672 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2661 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_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.
3295 3296 3297 3298 3299 3300 3301 3302 3303 3304 3305 3306 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3295 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.
2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2936 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_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.
4764 4765 4766 4767 4768 4769 4770 4771 4772 4773 4774 4775 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4764 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.
4573 4574 4575 4576 4577 4578 4579 4580 4581 4582 4583 4584 4585 4586 4587 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4573 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.
4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4947 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.
4121 4122 4123 4124 4125 4126 4127 4128 4129 4130 4131 4132 4133 4134 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4121 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.
5130 5131 5132 5133 5134 5135 5136 5137 5138 5139 5140 5141 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5130 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.
3587 3588 3589 3590 3591 3592 3593 3594 3595 3596 3597 3598 3599 3600 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3587 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.
5508 5509 5510 5511 5512 5513 5514 5515 5516 5517 5518 5519 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5508 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.
5366 5367 5368 5369 5370 5371 5372 5373 5374 5375 5376 5377 5378 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5366 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.
6054 6055 6056 6057 6058 6059 6060 6061 6062 6063 6064 6065 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6054 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.
5769 5770 5771 5772 5773 5774 5775 5776 5777 5778 5779 5780 5781 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5769 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.
6483 6484 6485 6486 6487 6488 6489 6490 6491 6492 6493 6494 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6483 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.
6236 6237 6238 6239 6240 6241 6242 6243 6244 6245 6246 6247 6248 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6236 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.
6855 6856 6857 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6855 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.
7245 7246 7247 7248 7249 7250 7251 7252 7253 7254 7255 7256 7257 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7245 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.
7607 7608 7609 7610 7611 7612 7613 7614 7615 7616 7617 7618 7619 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7607 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.
7834 7835 7836 7837 7838 7839 7840 7841 7842 7843 7844 7845 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7834 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.
6676 6677 6678 6679 6680 6681 6682 6683 6684 6685 6686 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6676 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.
8047 8048 8049 8050 8051 8052 8053 8054 8055 8056 8057 8058 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8047 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.
8542 8543 8544 8545 8546 8547 8548 8549 8550 8551 8552 8553 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8542 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.
8238 8239 8240 8241 8242 8243 8244 8245 8246 8247 8248 8249 8250 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8238 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.
9261 9262 9263 9264 9265 9266 9267 9268 9269 9270 9271 9272 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9261 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.
9415 9416 9417 9418 9419 9420 9421 9422 9423 9424 9425 9426 9427 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9415 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.
9119 9120 9121 9122 9123 9124 9125 9126 9127 9128 9129 9130 9131 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9119 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.
9557 9558 9559 9560 9561 9562 9563 9564 9565 9566 9567 9568 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9557 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.
8868 8869 8870 8871 8872 8873 8874 8875 8876 8877 8878 8879 8880 8881 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8868 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.
8816 8817 8818 8819 8820 8821 8822 8823 8824 8825 8826 8827 8828 8829 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8816 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.
9858 9859 9860 9861 9862 9863 9864 9865 9866 9867 9868 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9858 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.
9786 9787 9788 9789 9790 9791 9792 9793 9794 9795 9796 9797 9798 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9786 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.
10061 10062 10063 10064 10065 10066 10067 10068 10069 10070 10071 10072 10073 10074 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10061 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.
10308 10309 10310 10311 10312 10313 10314 10315 10316 10317 10318 10319 10320 10321 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10308 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.
10487 10488 10489 10490 10491 10492 10493 10494 10495 10496 10497 10498 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10487 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.
10886 10887 10888 10889 10890 10891 10892 10893 10894 10895 10896 10897 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10886 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.
10743 10744 10745 10746 10747 10748 10749 10750 10751 10752 10753 10754 10755 10756 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10743 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.
11453 11454 11455 11456 11457 11458 11459 11460 11461 11462 11463 11464 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11453 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.
11195 11196 11197 11198 11199 11200 11201 11202 11203 11204 11205 11206 11207 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11195 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.
11815 11816 11817 11818 11819 11820 11821 11822 11823 11824 11825 11826 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11815 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.
11638 11639 11640 11641 11642 11643 11644 11645 11646 11647 11648 11649 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11638 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.
11993 11994 11995 11996 11997 11998 11999 12000 12001 12002 12003 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11993 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.
12168 12169 12170 12171 12172 12173 12174 12175 12176 12177 12178 12179 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12168 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.
12697 12698 12699 12700 12701 12702 12703 12704 12705 12706 12707 12708 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12697 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
12486 12487 12488 12489 12490 12491 12492 12493 12494 12495 12496 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12486 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.
12451 12452 12453 12454 12455 12456 12457 12458 12459 12460 12461 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12451 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.
13362 13363 13364 13365 13366 13367 13368 13369 13370 13371 13372 13373 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13362 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.
13814 13815 13816 13817 13818 13819 13820 13821 13822 13823 13824 13825 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13814 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.
14130 14131 14132 14133 14134 14135 14136 14137 14138 14139 14140 14141 14142 14143 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14130 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.
14392 14393 14394 14395 14396 14397 14398 14399 14400 14401 14402 14403 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14392 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.
13594 13595 13596 13597 13598 13599 13600 13601 13602 13603 13604 13605 13606 13607 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13594 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.
13142 13143 13144 13145 13146 13147 13148 13149 13150 13151 13152 13153 13154 13155 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13142 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.
14575 14576 14577 14578 14579 14580 14581 14582 14583 14584 14585 14586 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14575 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.
12884 12885 12886 12887 12888 12889 12890 12891 12892 12893 12894 12895 12896 12897 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12884 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.
14951 14952 14953 14954 14955 14956 14957 14958 14959 14960 14961 14962 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14951 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.
14809 14810 14811 14812 14813 14814 14815 14816 14817 14818 14819 14820 14821 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14809 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.
113 114 115 116 117 118 119 120 121 122 123 124 |
# 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.
12028 12029 12030 12031 12032 12033 12034 12035 12036 12037 12038 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12028 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.
8906 8907 8908 8909 8910 8911 8912 8913 8914 8915 8916 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8906 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).
2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2977 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.
5806 5807 5808 5809 5810 5811 5812 5813 5814 5815 5816 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5806 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.
1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 |
# 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.
3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 3023 3024 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3013 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_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.
3632 3633 3634 3635 3636 3637 3638 3639 3640 3641 3642 3643 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3632 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.
4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4176 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.
4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4623 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.
6274 6275 6276 6277 6278 6279 6280 6281 6282 6283 6284 6285 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6274 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.
5842 5843 5844 5845 5846 5847 5848 5849 5850 5851 5852 5853 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5842 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.
6894 6895 6896 6897 6898 6899 6900 6901 6902 6903 6904 6905 6906 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6894 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.
7284 7285 7286 7287 7288 7289 7290 7291 7292 7293 7294 7295 7296 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7284 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.
7646 7647 7648 7649 7650 7651 7652 7653 7654 7655 7656 7657 7658 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7646 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.
8942 8943 8944 8945 8946 8947 8948 8949 8950 8951 8952 8953 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8942 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.
8293 8294 8295 8296 8297 8298 8299 8300 8301 8302 8303 8304 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8293 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.
11237 11238 11239 11240 11241 11242 11243 11244 11245 11246 11247 11248 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11237 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.
11674 11675 11676 11677 11678 11679 11680 11681 11682 11683 11684 11685 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11674 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.
12927 12928 12929 12930 12931 12932 12933 12934 12935 12936 12937 12938 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12927 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.
13185 13186 13187 13188 13189 13190 13191 13192 13193 13194 13195 13196 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13185 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.
13637 13638 13639 13640 13641 13642 13643 13644 13645 13646 13647 13648 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13637 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.
14172 14173 14174 14175 14176 14177 14178 14179 14180 14181 14182 14183 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14172 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'.
8331 8332 8333 8334 8335 8336 8337 8338 8339 8340 8341 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8331 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.
11274 11275 11276 11277 11278 11279 11280 11281 11282 11283 11284 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11274 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.
3048 3049 3050 3051 3052 3053 3054 3055 3056 3057 3058 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3048 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.
10963 10964 10965 10966 10967 10968 10969 10970 10971 10972 10973 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10963 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.
6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6930 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.
7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7320 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.
7682 7683 7684 7685 7686 7687 7688 7689 7690 7691 7692 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7682 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_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.
6989 6990 6991 6992 6993 6994 6995 6996 6997 6998 6999 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6989 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.
7358 7359 7360 7361 7362 7363 7364 7365 7366 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7358 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.
7717 7718 7719 7720 7721 7722 7723 7724 7725 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7717 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.
3085 3086 3087 3088 3089 3090 3091 3092 3093 3094 3095 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3085 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.
11000 11001 11002 11003 11004 11005 11006 11007 11008 11009 11010 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11000 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.
4215 4216 4217 4218 4219 4220 4221 4222 4223 4224 4225 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4215 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.
5878 5879 5880 5881 5882 5883 5884 5885 5886 5887 5888 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5878 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.
14215 14216 14217 14218 14219 14220 14221 14222 14223 14224 14225 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14215 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.
14253 14254 14255 14256 14257 14258 14259 14260 14261 14262 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14253 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.
12961 12962 12963 12964 12965 12966 12967 12968 12969 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12961 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.
12992 12993 12994 12995 12996 12997 12998 12999 13000 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12992 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.
6309 6310 6311 6312 6313 6314 6315 6316 6317 6318 6319 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6309 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.
7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7391 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 |
#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.
8367 8368 8369 8370 8371 8372 8373 8374 8375 8376 8377 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8367 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.
11313 11314 11315 11316 11317 11318 11319 11320 11321 11322 11323 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11313 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.
1388 1389 1390 1391 1392 1393 1394 1395 1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 |
# 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.
3708 3709 3710 3711 3712 3713 3714 3715 3716 3717 3718 3719 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3708 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.
7907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 7907 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.
8402 8403 8404 8405 8406 8407 8408 8409 8410 8411 8412 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8402 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.
3120 3121 3122 3123 3124 3125 3126 3127 3128 3129 3130 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3120 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.
11035 11036 11037 11038 11039 11040 11041 11042 11043 11044 11045 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11035 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.
4252 4253 4254 4255 4256 4257 4258 4259 4260 4261 4262 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4252 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.
3746 3747 3748 3749 3750 3751 3752 3753 3754 3755 3756 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3746 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.
10101 10102 10103 10104 10105 10106 10107 10108 10109 10110 10111 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10101 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.
10347 10348 10349 10350 10351 10352 10353 10354 10355 10356 10357 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10347 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.
12520 12521 12522 12523 12524 12525 12526 12527 12528 12529 12530 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12520 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.
4289 4290 4291 4292 4293 4294 4295 4296 4297 4298 4299 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4289 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.
12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12557 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 |
#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.
4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4331 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.
3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3788 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.
10143 10144 10145 10146 10147 10148 10149 10150 10151 10152 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10143 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.
3155 3156 3157 3158 3159 3160 3161 3162 3163 3164 3165 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3155 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.
5914 5915 5916 5917 5918 5919 5920 5921 5922 5923 5924 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5914 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.
8977 8978 8979 8980 8981 8982 8983 8984 8985 8986 8987 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8977 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.
9011 9012 9013 9014 9015 9016 9017 9018 9019 9020 9021 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9011 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.
6343 6344 6345 6346 6347 6348 6349 6350 6351 6352 6353 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6343 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.
679 680 681 682 683 684 685 686 687 688 |
# 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.
1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 |
# 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.
1617 1618 1619 1620 1621 1622 1623 1624 1625 1626 |
# 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.
1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 |
# 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.
2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 |
# 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.
2261 2262 2263 2264 2265 2266 2267 2268 2269 2270 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2261 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.
2522 2523 2524 2525 2526 2527 2528 2529 2530 2531 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2522 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.
2705 2706 2707 2708 2709 2710 2711 2712 2713 2714 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 2705 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.
3339 3340 3341 3342 3343 3344 3345 3346 3347 3348 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 3339 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_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.
4808 4809 4810 4811 4812 4813 4814 4815 4816 4817 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4808 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.
4991 4992 4993 4994 4995 4996 4997 4998 4999 5000 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4991 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.
5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5174 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.
5552 5553 5554 5555 5556 5557 5558 5559 5560 5561 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 5552 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.
6098 6099 6100 6101 6102 6103 6104 6105 6106 6107 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6098 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.
6527 6528 6529 6530 6531 6532 6533 6534 6535 6536 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 6527 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.
8091 8092 8093 8094 8095 8096 8097 8098 8099 8100 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8091 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.
8586 8587 8588 8589 8590 8591 8592 8593 8594 8595 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 8586 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.
9305 9306 9307 9308 9309 9310 9311 9312 9313 9314 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9305 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.
9601 9602 9603 9604 9605 9606 9607 9608 9609 9610 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 9601 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.
10531 10532 10533 10534 10535 10536 10537 10538 10539 10540 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10531 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.
10930 10931 10932 10933 10934 10935 10936 10937 10938 10939 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 10930 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.
11497 11498 11499 11500 11501 11502 11503 11504 11505 11506 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11497 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.
11859 11860 11861 11862 11863 11864 11865 11866 11867 11868 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 11859 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.
12212 12213 12214 12215 12216 12217 12218 12219 12220 12221 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12212 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.
12741 12742 12743 12744 12745 12746 12747 12748 12749 12750 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 12741 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.
13406 13407 13408 13409 13410 13411 13412 13413 13414 13415 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13406 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.
13858 13859 13860 13861 13862 13863 13864 13865 13866 13867 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13858 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.
14436 14437 14438 14439 14440 14441 14442 14443 14444 14445 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14436 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.
14619 14620 14621 14622 14623 14624 14625 14626 14627 14628 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14619 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.
14995 14996 14997 14998 14999 15000 15001 15002 15003 15004 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 14995 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.
4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 4368 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.
13222 13223 13224 13225 13226 13227 13228 13229 13230 13231 13232 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13222 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.
13674 13675 13676 13677 13678 13679 13680 13681 13682 13683 13684 |
# File 'lib/google/apis/aiplatform_v1/service.rb', line 13674 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 |