Package Properties and Attributes (1.54.1)

Summary of entries of Properties and Attributes for aiplatform.

google.cloud.aiplatform.Artifact.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Artifact.create_time

google.cloud.aiplatform.Artifact.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Artifact.display_name

google.cloud.aiplatform.Artifact.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Artifact.encryption_spec

google.cloud.aiplatform.Artifact.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Artifact.gca_resource

google.cloud.aiplatform.Artifact.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Artifact.labels

google.cloud.aiplatform.Artifact.lineage_console_uri

Cloud console uri to view this Artifact Lineage.

See more: google.cloud.aiplatform.Artifact.lineage_console_uri

google.cloud.aiplatform.Artifact.name

Name of this resource.

See more: google.cloud.aiplatform.Artifact.name

google.cloud.aiplatform.Artifact.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Artifact.resource_name

google.cloud.aiplatform.Artifact.state

The State for this Artifact.

See more: google.cloud.aiplatform.Artifact.state

google.cloud.aiplatform.Artifact.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Artifact.update_time

google.cloud.aiplatform.Artifact.uri

Uri for this Artifact.

See more: google.cloud.aiplatform.Artifact.uri

google.cloud.aiplatform.AutoMLForecastingTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.create_time

google.cloud.aiplatform.AutoMLForecastingTrainingJob.display_name

google.cloud.aiplatform.AutoMLForecastingTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.encryption_spec

google.cloud.aiplatform.AutoMLForecastingTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.end_time

google.cloud.aiplatform.AutoMLForecastingTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.error

google.cloud.aiplatform.AutoMLForecastingTrainingJob.evaluated_data_items_bigquery_uri

BigQuery location of exported evaluated examples from the Training Job.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.evaluated_data_items_bigquery_uri

google.cloud.aiplatform.AutoMLForecastingTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.gca_resource

google.cloud.aiplatform.AutoMLForecastingTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.has_failed

google.cloud.aiplatform.AutoMLForecastingTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.labels

google.cloud.aiplatform.AutoMLForecastingTrainingJob.name

google.cloud.aiplatform.AutoMLForecastingTrainingJob.resource_name

google.cloud.aiplatform.AutoMLForecastingTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.start_time

google.cloud.aiplatform.AutoMLForecastingTrainingJob.state

google.cloud.aiplatform.AutoMLForecastingTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.update_time

google.cloud.aiplatform.AutoMLImageTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.create_time

google.cloud.aiplatform.AutoMLImageTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.display_name

google.cloud.aiplatform.AutoMLImageTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.encryption_spec

google.cloud.aiplatform.AutoMLImageTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.end_time

google.cloud.aiplatform.AutoMLImageTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.error

google.cloud.aiplatform.AutoMLImageTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.gca_resource

google.cloud.aiplatform.AutoMLImageTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.has_failed

google.cloud.aiplatform.AutoMLImageTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.labels

google.cloud.aiplatform.AutoMLImageTrainingJob.name

Name of this resource.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.name

google.cloud.aiplatform.AutoMLImageTrainingJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.resource_name

google.cloud.aiplatform.AutoMLImageTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.start_time

google.cloud.aiplatform.AutoMLImageTrainingJob.state

Current training state.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.state

google.cloud.aiplatform.AutoMLImageTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.AutoMLImageTrainingJob.update_time

google.cloud.aiplatform.AutoMLTabularTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.create_time

google.cloud.aiplatform.AutoMLTabularTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.display_name

google.cloud.aiplatform.AutoMLTabularTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.encryption_spec

google.cloud.aiplatform.AutoMLTabularTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.end_time

google.cloud.aiplatform.AutoMLTabularTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.error

google.cloud.aiplatform.AutoMLTabularTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.gca_resource

google.cloud.aiplatform.AutoMLTabularTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.has_failed

google.cloud.aiplatform.AutoMLTabularTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.labels

google.cloud.aiplatform.AutoMLTabularTrainingJob.name

google.cloud.aiplatform.AutoMLTabularTrainingJob.resource_name

google.cloud.aiplatform.AutoMLTabularTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.start_time

google.cloud.aiplatform.AutoMLTabularTrainingJob.state

google.cloud.aiplatform.AutoMLTabularTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.update_time

google.cloud.aiplatform.AutoMLTextTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.create_time

google.cloud.aiplatform.AutoMLTextTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.display_name

google.cloud.aiplatform.AutoMLTextTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.encryption_spec

google.cloud.aiplatform.AutoMLTextTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.end_time

google.cloud.aiplatform.AutoMLTextTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.error

google.cloud.aiplatform.AutoMLTextTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.gca_resource

google.cloud.aiplatform.AutoMLTextTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.has_failed

google.cloud.aiplatform.AutoMLTextTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.labels

google.cloud.aiplatform.AutoMLTextTrainingJob.name

Name of this resource.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.name

google.cloud.aiplatform.AutoMLTextTrainingJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.resource_name

google.cloud.aiplatform.AutoMLTextTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.start_time

google.cloud.aiplatform.AutoMLTextTrainingJob.state

Current training state.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.state

google.cloud.aiplatform.AutoMLTextTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.AutoMLTextTrainingJob.update_time

google.cloud.aiplatform.AutoMLVideoTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.create_time

google.cloud.aiplatform.AutoMLVideoTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.display_name

google.cloud.aiplatform.AutoMLVideoTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.encryption_spec

google.cloud.aiplatform.AutoMLVideoTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.end_time

google.cloud.aiplatform.AutoMLVideoTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.error

google.cloud.aiplatform.AutoMLVideoTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.gca_resource

google.cloud.aiplatform.AutoMLVideoTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.has_failed

google.cloud.aiplatform.AutoMLVideoTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.labels

google.cloud.aiplatform.AutoMLVideoTrainingJob.name

Name of this resource.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.name

google.cloud.aiplatform.AutoMLVideoTrainingJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.resource_name

google.cloud.aiplatform.AutoMLVideoTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.start_time

google.cloud.aiplatform.AutoMLVideoTrainingJob.state

Current training state.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.state

google.cloud.aiplatform.AutoMLVideoTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.update_time

google.cloud.aiplatform.BatchPredictionJob.completion_stats

Statistics on completed and failed prediction instances.

See more: google.cloud.aiplatform.BatchPredictionJob.completion_stats

google.cloud.aiplatform.BatchPredictionJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.BatchPredictionJob.create_time

google.cloud.aiplatform.BatchPredictionJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.BatchPredictionJob.display_name

google.cloud.aiplatform.BatchPredictionJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.BatchPredictionJob.encryption_spec

google.cloud.aiplatform.BatchPredictionJob.end_time

Time when the Job resource entered the JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, or JOB_STATE_CANCELLED state.

See more: google.cloud.aiplatform.BatchPredictionJob.end_time

google.cloud.aiplatform.BatchPredictionJob.error

Detailed error info for this Job resource.

See more: google.cloud.aiplatform.BatchPredictionJob.error

google.cloud.aiplatform.BatchPredictionJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.BatchPredictionJob.gca_resource

google.cloud.aiplatform.BatchPredictionJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.BatchPredictionJob.labels

google.cloud.aiplatform.BatchPredictionJob.name

Name of this resource.

See more: google.cloud.aiplatform.BatchPredictionJob.name

google.cloud.aiplatform.BatchPredictionJob.output_info

Information describing the output of this job, including output location into which prediction output is written.

See more: google.cloud.aiplatform.BatchPredictionJob.output_info

google.cloud.aiplatform.BatchPredictionJob.partial_failures

Partial failures encountered.

See more: google.cloud.aiplatform.BatchPredictionJob.partial_failures

google.cloud.aiplatform.BatchPredictionJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.BatchPredictionJob.resource_name

google.cloud.aiplatform.BatchPredictionJob.start_time

Time when the Job resource entered the JOB_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.BatchPredictionJob.start_time

google.cloud.aiplatform.BatchPredictionJob.state

Fetch Job again and return the current JobState.

See more: google.cloud.aiplatform.BatchPredictionJob.state

google.cloud.aiplatform.BatchPredictionJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.BatchPredictionJob.update_time

google.cloud.aiplatform.CustomContainerTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.create_time

google.cloud.aiplatform.CustomContainerTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.display_name

google.cloud.aiplatform.CustomContainerTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.encryption_spec

google.cloud.aiplatform.CustomContainerTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.end_time

google.cloud.aiplatform.CustomContainerTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.error

google.cloud.aiplatform.CustomContainerTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.gca_resource

google.cloud.aiplatform.CustomContainerTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.has_failed

google.cloud.aiplatform.CustomContainerTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.labels

google.cloud.aiplatform.CustomContainerTrainingJob.name

google.cloud.aiplatform.CustomContainerTrainingJob.network

The full name of the Google Compute Engine network to which this CustomTrainingJob should be peered.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.network

google.cloud.aiplatform.CustomContainerTrainingJob.resource_name

google.cloud.aiplatform.CustomContainerTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.start_time

google.cloud.aiplatform.CustomContainerTrainingJob.state

google.cloud.aiplatform.CustomContainerTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.update_time

google.cloud.aiplatform.CustomContainerTrainingJob.web_access_uris

Get the web access uris of the backing custom job.

See more: google.cloud.aiplatform.CustomContainerTrainingJob.web_access_uris

google.cloud.aiplatform.CustomJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.CustomJob.create_time

google.cloud.aiplatform.CustomJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.CustomJob.display_name

google.cloud.aiplatform.CustomJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.CustomJob.encryption_spec

google.cloud.aiplatform.CustomJob.end_time

Time when the Job resource entered the JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, or JOB_STATE_CANCELLED state.

See more: google.cloud.aiplatform.CustomJob.end_time

google.cloud.aiplatform.CustomJob.error

Detailed error info for this Job resource.

See more: google.cloud.aiplatform.CustomJob.error

google.cloud.aiplatform.CustomJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.CustomJob.gca_resource

google.cloud.aiplatform.CustomJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.CustomJob.labels

google.cloud.aiplatform.CustomJob.name

Name of this resource.

See more: google.cloud.aiplatform.CustomJob.name

google.cloud.aiplatform.CustomJob.network

The full name of the Google Compute Engine network to which this CustomJob should be peered.

See more: google.cloud.aiplatform.CustomJob.network

google.cloud.aiplatform.CustomJob.preview

Exposes features available in preview for this class.

See more: google.cloud.aiplatform.CustomJob.preview

google.cloud.aiplatform.CustomJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.CustomJob.resource_name

google.cloud.aiplatform.CustomJob.start_time

Time when the Job resource entered the JOB_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.CustomJob.start_time

google.cloud.aiplatform.CustomJob.state

Fetch Job again and return the current JobState.

See more: google.cloud.aiplatform.CustomJob.state

google.cloud.aiplatform.CustomJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.CustomJob.update_time

google.cloud.aiplatform.CustomJob.web_access_uris

Fetch the runnable job again and return the latest web access uris.

See more: google.cloud.aiplatform.CustomJob.web_access_uris

google.cloud.aiplatform.CustomPythonPackageTrainingJob.create_time

google.cloud.aiplatform.CustomPythonPackageTrainingJob.display_name

google.cloud.aiplatform.CustomPythonPackageTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.encryption_spec

google.cloud.aiplatform.CustomPythonPackageTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.end_time

google.cloud.aiplatform.CustomPythonPackageTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.error

google.cloud.aiplatform.CustomPythonPackageTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.gca_resource

google.cloud.aiplatform.CustomPythonPackageTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.has_failed

google.cloud.aiplatform.CustomPythonPackageTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.labels

google.cloud.aiplatform.CustomPythonPackageTrainingJob.name

google.cloud.aiplatform.CustomPythonPackageTrainingJob.network

The full name of the Google Compute Engine network to which this CustomTrainingJob should be peered.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.network

google.cloud.aiplatform.CustomPythonPackageTrainingJob.resource_name

google.cloud.aiplatform.CustomPythonPackageTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.start_time

google.cloud.aiplatform.CustomPythonPackageTrainingJob.state

google.cloud.aiplatform.CustomPythonPackageTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.update_time

google.cloud.aiplatform.CustomPythonPackageTrainingJob.web_access_uris

Get the web access uris of the backing custom job.

See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.web_access_uris

google.cloud.aiplatform.CustomTrainingJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.CustomTrainingJob.create_time

google.cloud.aiplatform.CustomTrainingJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.CustomTrainingJob.display_name

google.cloud.aiplatform.CustomTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.CustomTrainingJob.encryption_spec

google.cloud.aiplatform.CustomTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.CustomTrainingJob.end_time

google.cloud.aiplatform.CustomTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.CustomTrainingJob.error

google.cloud.aiplatform.CustomTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.CustomTrainingJob.gca_resource

google.cloud.aiplatform.CustomTrainingJob.has_failed

Returns True if training has failed.

See more: google.cloud.aiplatform.CustomTrainingJob.has_failed

google.cloud.aiplatform.CustomTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.CustomTrainingJob.labels

google.cloud.aiplatform.CustomTrainingJob.name

Name of this resource.

See more: google.cloud.aiplatform.CustomTrainingJob.name

google.cloud.aiplatform.CustomTrainingJob.network

The full name of the Google Compute Engine network to which this CustomTrainingJob should be peered.

See more: google.cloud.aiplatform.CustomTrainingJob.network

google.cloud.aiplatform.CustomTrainingJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.CustomTrainingJob.resource_name

google.cloud.aiplatform.CustomTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.CustomTrainingJob.start_time

google.cloud.aiplatform.CustomTrainingJob.state

Current training state.

See more: google.cloud.aiplatform.CustomTrainingJob.state

google.cloud.aiplatform.CustomTrainingJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.CustomTrainingJob.update_time

google.cloud.aiplatform.CustomTrainingJob.web_access_uris

Get the web access uris of the backing custom job.

See more: google.cloud.aiplatform.CustomTrainingJob.web_access_uris

google.cloud.aiplatform.Endpoint.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Endpoint.create_time

google.cloud.aiplatform.Endpoint.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Endpoint.display_name

google.cloud.aiplatform.Endpoint.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Endpoint.encryption_spec

google.cloud.aiplatform.Endpoint.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Endpoint.gca_resource

google.cloud.aiplatform.Endpoint.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Endpoint.labels

google.cloud.aiplatform.Endpoint.name

Name of this resource.

See more: google.cloud.aiplatform.Endpoint.name

google.cloud.aiplatform.Endpoint.network

The full name of the Google Compute Engine network to which this Endpoint should be peered.

See more: google.cloud.aiplatform.Endpoint.network

google.cloud.aiplatform.Endpoint.preview

Return an Endpoint instance with preview features enabled.

See more: google.cloud.aiplatform.Endpoint.preview

google.cloud.aiplatform.Endpoint.private_service_connect_config

The Private Service Connect configuration for this Endpoint.

See more: google.cloud.aiplatform.Endpoint.private_service_connect_config

google.cloud.aiplatform.Endpoint.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Endpoint.resource_name

google.cloud.aiplatform.Endpoint.traffic_split

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

See more: google.cloud.aiplatform.Endpoint.traffic_split

google.cloud.aiplatform.Endpoint.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Endpoint.update_time

google.cloud.aiplatform.EntityType.create_time

Time this resource was created.

See more: google.cloud.aiplatform.EntityType.create_time

google.cloud.aiplatform.EntityType.display_name

Display name of this resource.

See more: google.cloud.aiplatform.EntityType.display_name

google.cloud.aiplatform.EntityType.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.EntityType.encryption_spec

google.cloud.aiplatform.EntityType.featurestore_name

Full qualified resource name of the managed featurestore in which this EntityType is.

See more: google.cloud.aiplatform.EntityType.featurestore_name

google.cloud.aiplatform.EntityType.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.EntityType.gca_resource

google.cloud.aiplatform.EntityType.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.EntityType.labels

google.cloud.aiplatform.EntityType.name

Name of this resource.

See more: google.cloud.aiplatform.EntityType.name

google.cloud.aiplatform.EntityType.preview

Exposes features available in preview for this class.

See more: google.cloud.aiplatform.EntityType.preview

google.cloud.aiplatform.EntityType.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.EntityType.resource_name

google.cloud.aiplatform.EntityType.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.EntityType.update_time

google.cloud.aiplatform.Execution.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Execution.create_time

google.cloud.aiplatform.Execution.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Execution.display_name

google.cloud.aiplatform.Execution.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Execution.encryption_spec

google.cloud.aiplatform.Execution.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Execution.gca_resource

google.cloud.aiplatform.Execution.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Execution.labels

google.cloud.aiplatform.Execution.name

Name of this resource.

See more: google.cloud.aiplatform.Execution.name

google.cloud.aiplatform.Execution.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Execution.resource_name

google.cloud.aiplatform.Execution.state

State of this Execution.

See more: google.cloud.aiplatform.Execution.state

google.cloud.aiplatform.Execution.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Execution.update_time

google.cloud.aiplatform.Experiment.backing_tensorboard_resource_name

The Tensorboard resource associated with this Experiment if there is one.

See more: google.cloud.aiplatform.Experiment.backing_tensorboard_resource_name

google.cloud.aiplatform.Experiment.dashboard_url

Cloud console URL for this resource.

See more: google.cloud.aiplatform.Experiment.dashboard_url

google.cloud.aiplatform.Experiment.name

The name of this experiment.

See more: google.cloud.aiplatform.Experiment.name

google.cloud.aiplatform.Experiment.resource_name

The Metadata context resource name of this experiment.

See more: google.cloud.aiplatform.Experiment.resource_name

google.cloud.aiplatform.ExperimentRun.credentials

The credentials used to access this experiment run.

See more: google.cloud.aiplatform.ExperimentRun.credentials

google.cloud.aiplatform.ExperimentRun.location

The location that this experiment is located in.

See more: google.cloud.aiplatform.ExperimentRun.location

google.cloud.aiplatform.ExperimentRun.name

This run's name used to identify this run within it's Experiment.

See more: google.cloud.aiplatform.ExperimentRun.name

google.cloud.aiplatform.ExperimentRun.project

The project that this experiment run is located in.

See more: google.cloud.aiplatform.ExperimentRun.project

google.cloud.aiplatform.ExperimentRun.resource_id

The resource ID of this experiment run's Metadata context.

See more: google.cloud.aiplatform.ExperimentRun.resource_id

google.cloud.aiplatform.ExperimentRun.resource_name

This run's Metadata context resource name.

See more: google.cloud.aiplatform.ExperimentRun.resource_name

google.cloud.aiplatform.ExperimentRun.state

The state of this run.

See more: google.cloud.aiplatform.ExperimentRun.state

google.cloud.aiplatform.Feature.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Feature.create_time

google.cloud.aiplatform.Feature.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Feature.display_name

google.cloud.aiplatform.Feature.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Feature.encryption_spec

google.cloud.aiplatform.Feature.entity_type_name

Full qualified resource name of the managed entityType in which this Feature is.

See more: google.cloud.aiplatform.Feature.entity_type_name

google.cloud.aiplatform.Feature.featurestore_name

Full qualified resource name of the managed featurestore in which this Feature is.

See more: google.cloud.aiplatform.Feature.featurestore_name

google.cloud.aiplatform.Feature.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Feature.gca_resource

google.cloud.aiplatform.Feature.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Feature.labels

google.cloud.aiplatform.Feature.name

Name of this resource.

See more: google.cloud.aiplatform.Feature.name

google.cloud.aiplatform.Feature.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Feature.resource_name

google.cloud.aiplatform.Feature.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Feature.update_time

google.cloud.aiplatform.Featurestore.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Featurestore.create_time

google.cloud.aiplatform.Featurestore.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Featurestore.display_name

google.cloud.aiplatform.Featurestore.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Featurestore.encryption_spec

google.cloud.aiplatform.Featurestore.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Featurestore.gca_resource

google.cloud.aiplatform.Featurestore.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Featurestore.labels

google.cloud.aiplatform.Featurestore.name

Name of this resource.

See more: google.cloud.aiplatform.Featurestore.name

google.cloud.aiplatform.Featurestore.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Featurestore.resource_name

google.cloud.aiplatform.Featurestore.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Featurestore.update_time

google.cloud.aiplatform.HyperparameterTuningJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.HyperparameterTuningJob.create_time

google.cloud.aiplatform.HyperparameterTuningJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.display_name

google.cloud.aiplatform.HyperparameterTuningJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.encryption_spec

google.cloud.aiplatform.HyperparameterTuningJob.end_time

Time when the Job resource entered the JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, or JOB_STATE_CANCELLED state.

See more: google.cloud.aiplatform.HyperparameterTuningJob.end_time

google.cloud.aiplatform.HyperparameterTuningJob.error

Detailed error info for this Job resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.error

google.cloud.aiplatform.HyperparameterTuningJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.HyperparameterTuningJob.gca_resource

google.cloud.aiplatform.HyperparameterTuningJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.HyperparameterTuningJob.labels

google.cloud.aiplatform.HyperparameterTuningJob.name

google.cloud.aiplatform.HyperparameterTuningJob.network

The full name of the Google Compute Engine network to which this HyperparameterTuningJob should be peered.

See more: google.cloud.aiplatform.HyperparameterTuningJob.network

google.cloud.aiplatform.HyperparameterTuningJob.preview

Exposes features available in preview for this class.

See more: google.cloud.aiplatform.HyperparameterTuningJob.preview

google.cloud.aiplatform.HyperparameterTuningJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.HyperparameterTuningJob.resource_name

google.cloud.aiplatform.HyperparameterTuningJob.start_time

Time when the Job resource entered the JOB_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.HyperparameterTuningJob.start_time

google.cloud.aiplatform.HyperparameterTuningJob.state

Fetch Job again and return the current JobState.

See more: google.cloud.aiplatform.HyperparameterTuningJob.state

google.cloud.aiplatform.HyperparameterTuningJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.HyperparameterTuningJob.update_time

google.cloud.aiplatform.HyperparameterTuningJob.web_access_uris

Fetch the runnable job again and return the latest web access uris.

See more: google.cloud.aiplatform.HyperparameterTuningJob.web_access_uris

google.cloud.aiplatform.ImageDataset.create_time

Time this resource was created.

See more: google.cloud.aiplatform.ImageDataset.create_time

google.cloud.aiplatform.ImageDataset.display_name

Display name of this resource.

See more: google.cloud.aiplatform.ImageDataset.display_name

google.cloud.aiplatform.ImageDataset.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.ImageDataset.encryption_spec

google.cloud.aiplatform.ImageDataset.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.ImageDataset.gca_resource

google.cloud.aiplatform.ImageDataset.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.ImageDataset.labels

google.cloud.aiplatform.ImageDataset.metadata_schema_uri

The metadata schema uri of this dataset resource.

See more: google.cloud.aiplatform.ImageDataset.metadata_schema_uri

google.cloud.aiplatform.ImageDataset.name

Name of this resource.

See more: google.cloud.aiplatform.ImageDataset.name

google.cloud.aiplatform.ImageDataset.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.ImageDataset.resource_name

google.cloud.aiplatform.ImageDataset.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.ImageDataset.update_time

google.cloud.aiplatform.MatchingEngineIndex.create_time

Time this resource was created.

See more: google.cloud.aiplatform.MatchingEngineIndex.create_time

google.cloud.aiplatform.MatchingEngineIndex.deployed_indexes

Returns a list of deployed index references that originate from this index.

See more: google.cloud.aiplatform.MatchingEngineIndex.deployed_indexes

google.cloud.aiplatform.MatchingEngineIndex.description

Description of the index.

See more: google.cloud.aiplatform.MatchingEngineIndex.description

google.cloud.aiplatform.MatchingEngineIndex.display_name

Display name of this resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.display_name

google.cloud.aiplatform.MatchingEngineIndex.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.encryption_spec

google.cloud.aiplatform.MatchingEngineIndex.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.MatchingEngineIndex.gca_resource

google.cloud.aiplatform.MatchingEngineIndex.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.labels

google.cloud.aiplatform.MatchingEngineIndex.name

Name of this resource.

See more: google.cloud.aiplatform.MatchingEngineIndex.name

google.cloud.aiplatform.MatchingEngineIndex.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.MatchingEngineIndex.resource_name

google.cloud.aiplatform.MatchingEngineIndex.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.MatchingEngineIndex.update_time

google.cloud.aiplatform.MatchingEngineIndexEndpoint.create_time

Time this resource was created.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.create_time

google.cloud.aiplatform.MatchingEngineIndexEndpoint.deployed_indexes

Returns a list of deployed indexes on this endpoint.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.deployed_indexes

google.cloud.aiplatform.MatchingEngineIndexEndpoint.description

Description of the index endpoint.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.description

google.cloud.aiplatform.MatchingEngineIndexEndpoint.display_name

google.cloud.aiplatform.MatchingEngineIndexEndpoint.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.encryption_spec

google.cloud.aiplatform.MatchingEngineIndexEndpoint.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.gca_resource

google.cloud.aiplatform.MatchingEngineIndexEndpoint.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.labels

google.cloud.aiplatform.MatchingEngineIndexEndpoint.name

google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_access_network

google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_connect_ip_address

google.cloud.aiplatform.MatchingEngineIndexEndpoint.public_endpoint_domain_name

google.cloud.aiplatform.MatchingEngineIndexEndpoint.resource_name

google.cloud.aiplatform.MatchingEngineIndexEndpoint.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.update_time

google.cloud.aiplatform.Model.container_spec

The specification of the container that is to be used when deploying this Model.

See more: google.cloud.aiplatform.Model.container_spec

google.cloud.aiplatform.Model.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Model.create_time

google.cloud.aiplatform.Model.description

Description of the model.

See more: google.cloud.aiplatform.Model.description

google.cloud.aiplatform.Model.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Model.display_name

google.cloud.aiplatform.Model.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Model.encryption_spec

google.cloud.aiplatform.Model.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Model.gca_resource

google.cloud.aiplatform.Model.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Model.labels

google.cloud.aiplatform.Model.name

Name of this resource.

See more: google.cloud.aiplatform.Model.name

google.cloud.aiplatform.Model.predict_schemata

The schemata that describe formats of the Model's predictions and explanations, if available.

See more: google.cloud.aiplatform.Model.predict_schemata

google.cloud.aiplatform.Model.preview

Return a Model instance with preview features enabled.

See more: google.cloud.aiplatform.Model.preview

google.cloud.aiplatform.Model.resource_name

Full qualified resource name, without any version ID.

See more: google.cloud.aiplatform.Model.resource_name

google.cloud.aiplatform.Model.supported_deployment_resources_types

List of deployment resource types accepted for this Model.

See more: google.cloud.aiplatform.Model.supported_deployment_resources_types

google.cloud.aiplatform.Model.supported_export_formats

The formats and content types in which this Model may be exported.

See more: google.cloud.aiplatform.Model.supported_export_formats

google.cloud.aiplatform.Model.supported_input_storage_formats

The formats this Model supports in the input_config field of a BatchPredictionJob.

See more: google.cloud.aiplatform.Model.supported_input_storage_formats

google.cloud.aiplatform.Model.supported_output_storage_formats

The formats this Model supports in the output_config field of a BatchPredictionJob.

See more: google.cloud.aiplatform.Model.supported_output_storage_formats

google.cloud.aiplatform.Model.training_job

The TrainingJob that uploaded this Model, if any.

See more: google.cloud.aiplatform.Model.training_job

google.cloud.aiplatform.Model.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Model.update_time

google.cloud.aiplatform.Model.uri

Path to the directory containing the Model artifact and any of its supporting files.

See more: google.cloud.aiplatform.Model.uri

google.cloud.aiplatform.Model.version_aliases

User provided version aliases so that a model version can be referenced via alias (i.e.

See more: google.cloud.aiplatform.Model.version_aliases

google.cloud.aiplatform.Model.version_create_time

Timestamp when this version was created.

See more: google.cloud.aiplatform.Model.version_create_time

google.cloud.aiplatform.Model.version_description

The description of this version.

See more: google.cloud.aiplatform.Model.version_description

google.cloud.aiplatform.Model.version_id

The version ID of the model.

See more: google.cloud.aiplatform.Model.version_id

google.cloud.aiplatform.Model.version_update_time

Timestamp when this version was updated.

See more: google.cloud.aiplatform.Model.version_update_time

google.cloud.aiplatform.Model.versioned_resource_name

The fully-qualified resource name, including the version ID.

See more: google.cloud.aiplatform.Model.versioned_resource_name

google.cloud.aiplatform.Model.versioning_registry

The registry of model versions associated with this Model instance.

See more: google.cloud.aiplatform.Model.versioning_registry

google.cloud.aiplatform.ModelDeploymentMonitoringJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.create_time

google.cloud.aiplatform.ModelDeploymentMonitoringJob.display_name

google.cloud.aiplatform.ModelDeploymentMonitoringJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.encryption_spec

google.cloud.aiplatform.ModelDeploymentMonitoringJob.end_time

Time when the Job resource entered the JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, or JOB_STATE_CANCELLED state.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.end_time

google.cloud.aiplatform.ModelDeploymentMonitoringJob.error

Detailed error info for this Job resource.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.error

google.cloud.aiplatform.ModelDeploymentMonitoringJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.gca_resource

google.cloud.aiplatform.ModelDeploymentMonitoringJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.labels

google.cloud.aiplatform.ModelDeploymentMonitoringJob.name

google.cloud.aiplatform.ModelDeploymentMonitoringJob.resource_name

google.cloud.aiplatform.ModelDeploymentMonitoringJob.start_time

Time when the Job resource entered the JOB_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.start_time

google.cloud.aiplatform.ModelDeploymentMonitoringJob.state

Fetch Job again and return the current JobState.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.state

google.cloud.aiplatform.ModelDeploymentMonitoringJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.update_time

google.cloud.aiplatform.ModelEvaluation.create_time

Time this resource was created.

See more: google.cloud.aiplatform.ModelEvaluation.create_time

google.cloud.aiplatform.ModelEvaluation.display_name

Display name of this resource.

See more: google.cloud.aiplatform.ModelEvaluation.display_name

google.cloud.aiplatform.ModelEvaluation.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.ModelEvaluation.encryption_spec

google.cloud.aiplatform.ModelEvaluation.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.ModelEvaluation.gca_resource

google.cloud.aiplatform.ModelEvaluation.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.ModelEvaluation.labels

google.cloud.aiplatform.ModelEvaluation.metrics

Gets the evaluation metrics from the Model Evaluation.

See more: google.cloud.aiplatform.ModelEvaluation.metrics

google.cloud.aiplatform.ModelEvaluation.name

Name of this resource.

See more: google.cloud.aiplatform.ModelEvaluation.name

google.cloud.aiplatform.ModelEvaluation.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.ModelEvaluation.resource_name

google.cloud.aiplatform.ModelEvaluation.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.ModelEvaluation.update_time

google.cloud.aiplatform.PipelineJob.create_time

Time this resource was created.

See more: google.cloud.aiplatform.PipelineJob.create_time

google.cloud.aiplatform.PipelineJob.display_name

Display name of this resource.

See more: google.cloud.aiplatform.PipelineJob.display_name

google.cloud.aiplatform.PipelineJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.PipelineJob.encryption_spec

google.cloud.aiplatform.PipelineJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.PipelineJob.gca_resource

google.cloud.aiplatform.PipelineJob.has_failed

Returns True if pipeline has failed.

See more: google.cloud.aiplatform.PipelineJob.has_failed

google.cloud.aiplatform.PipelineJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.PipelineJob.labels

google.cloud.aiplatform.PipelineJob.name

Name of this resource.

See more: google.cloud.aiplatform.PipelineJob.name

google.cloud.aiplatform.PipelineJob.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.PipelineJob.resource_name

google.cloud.aiplatform.PipelineJob.state

Current pipeline state.

See more: google.cloud.aiplatform.PipelineJob.state

google.cloud.aiplatform.PipelineJob.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.PipelineJob.update_time

google.cloud.aiplatform.PipelineJobSchedule.allow_queueing

Whether current Schedule allows queueing.

See more: google.cloud.aiplatform.PipelineJobSchedule.allow_queueing

google.cloud.aiplatform.PipelineJobSchedule.create_time

Time this resource was created.

See more: google.cloud.aiplatform.PipelineJobSchedule.create_time

google.cloud.aiplatform.PipelineJobSchedule.cron

Current Schedule cron.

See more: google.cloud.aiplatform.PipelineJobSchedule.cron

google.cloud.aiplatform.PipelineJobSchedule.display_name

Display name of this resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.display_name

google.cloud.aiplatform.PipelineJobSchedule.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.encryption_spec

google.cloud.aiplatform.PipelineJobSchedule.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.PipelineJobSchedule.gca_resource

google.cloud.aiplatform.PipelineJobSchedule.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.labels

google.cloud.aiplatform.PipelineJobSchedule.max_concurrent_run_count

Current Schedule max_concurrent_run_count.

See more: google.cloud.aiplatform.PipelineJobSchedule.max_concurrent_run_count

google.cloud.aiplatform.PipelineJobSchedule.max_run_count

Current Schedule max_run_count.

See more: google.cloud.aiplatform.PipelineJobSchedule.max_run_count

google.cloud.aiplatform.PipelineJobSchedule.name

Name of this resource.

See more: google.cloud.aiplatform.PipelineJobSchedule.name

google.cloud.aiplatform.PipelineJobSchedule.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.PipelineJobSchedule.resource_name

google.cloud.aiplatform.PipelineJobSchedule.state

Current Schedule state.

See more: google.cloud.aiplatform.PipelineJobSchedule.state

google.cloud.aiplatform.PipelineJobSchedule.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.PipelineJobSchedule.update_time

google.cloud.aiplatform.PrivateEndpoint.create_time

Time this resource was created.

See more: google.cloud.aiplatform.PrivateEndpoint.create_time

google.cloud.aiplatform.PrivateEndpoint.display_name

Display name of this resource.

See more: google.cloud.aiplatform.PrivateEndpoint.display_name

google.cloud.aiplatform.PrivateEndpoint.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.PrivateEndpoint.encryption_spec

google.cloud.aiplatform.PrivateEndpoint.explain_http_uri

HTTP path to send explain requests to, used when calling PrivateEndpoint.explain().

See more: google.cloud.aiplatform.PrivateEndpoint.explain_http_uri

google.cloud.aiplatform.PrivateEndpoint.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.PrivateEndpoint.gca_resource

google.cloud.aiplatform.PrivateEndpoint.health_http_uri

HTTP path to send health check requests to, used when calling PrivateEndpoint.health_check().

See more: google.cloud.aiplatform.PrivateEndpoint.health_http_uri

google.cloud.aiplatform.PrivateEndpoint.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.PrivateEndpoint.labels

google.cloud.aiplatform.PrivateEndpoint.name

Name of this resource.

See more: google.cloud.aiplatform.PrivateEndpoint.name

google.cloud.aiplatform.PrivateEndpoint.network

The full name of the Google Compute Engine network to which this Endpoint should be peered.

See more: google.cloud.aiplatform.PrivateEndpoint.network

google.cloud.aiplatform.PrivateEndpoint.predict_http_uri

HTTP path to send prediction requests to, used when calling PrivateEndpoint.predict().

See more: google.cloud.aiplatform.PrivateEndpoint.predict_http_uri

google.cloud.aiplatform.PrivateEndpoint.preview

Return an Endpoint instance with preview features enabled.

See more: google.cloud.aiplatform.PrivateEndpoint.preview

google.cloud.aiplatform.PrivateEndpoint.private_service_connect_config

The Private Service Connect configuration for this Endpoint.

See more: google.cloud.aiplatform.PrivateEndpoint.private_service_connect_config

google.cloud.aiplatform.PrivateEndpoint.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.PrivateEndpoint.resource_name

google.cloud.aiplatform.PrivateEndpoint.traffic_split

A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

See more: google.cloud.aiplatform.PrivateEndpoint.traffic_split

google.cloud.aiplatform.PrivateEndpoint.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.PrivateEndpoint.update_time

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.create_time

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.display_name

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.encryption_spec

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.end_time

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.error

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.evaluated_data_items_bigquery_uri

BigQuery location of exported evaluated examples from the Training Job.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.evaluated_data_items_bigquery_uri

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.gca_resource

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.has_failed

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.labels

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.name

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.resource_name

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.start_time

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.state

google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.update_time

google.cloud.aiplatform.TabularDataset.column_names

Retrieve the columns for the dataset by extracting it from the Google Cloud Storage or Google BigQuery source.

See more: google.cloud.aiplatform.TabularDataset.column_names

google.cloud.aiplatform.TabularDataset.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TabularDataset.create_time

google.cloud.aiplatform.TabularDataset.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TabularDataset.display_name

google.cloud.aiplatform.TabularDataset.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TabularDataset.encryption_spec

google.cloud.aiplatform.TabularDataset.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TabularDataset.gca_resource

google.cloud.aiplatform.TabularDataset.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TabularDataset.labels

google.cloud.aiplatform.TabularDataset.metadata_schema_uri

The metadata schema uri of this dataset resource.

See more: google.cloud.aiplatform.TabularDataset.metadata_schema_uri

google.cloud.aiplatform.TabularDataset.name

Name of this resource.

See more: google.cloud.aiplatform.TabularDataset.name

google.cloud.aiplatform.TabularDataset.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TabularDataset.resource_name

google.cloud.aiplatform.TabularDataset.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TabularDataset.update_time

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.create_time

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.display_name

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.encryption_spec

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.end_time

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.error

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.evaluated_data_items_bigquery_uri

BigQuery location of exported evaluated examples from the Training Job.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.evaluated_data_items_bigquery_uri

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.gca_resource

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.has_failed

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.labels

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.name

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.resource_name

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.start_time

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.state

google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.update_time

google.cloud.aiplatform.Tensorboard.create_time

Time this resource was created.

See more: google.cloud.aiplatform.Tensorboard.create_time

google.cloud.aiplatform.Tensorboard.display_name

Display name of this resource.

See more: google.cloud.aiplatform.Tensorboard.display_name

google.cloud.aiplatform.Tensorboard.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.Tensorboard.encryption_spec

google.cloud.aiplatform.Tensorboard.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.Tensorboard.gca_resource

google.cloud.aiplatform.Tensorboard.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.Tensorboard.labels

google.cloud.aiplatform.Tensorboard.name

Name of this resource.

See more: google.cloud.aiplatform.Tensorboard.name

google.cloud.aiplatform.Tensorboard.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.Tensorboard.resource_name

google.cloud.aiplatform.Tensorboard.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.Tensorboard.update_time

google.cloud.aiplatform.TensorboardExperiment.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TensorboardExperiment.create_time

google.cloud.aiplatform.TensorboardExperiment.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TensorboardExperiment.display_name

google.cloud.aiplatform.TensorboardExperiment.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardExperiment.encryption_spec

google.cloud.aiplatform.TensorboardExperiment.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TensorboardExperiment.gca_resource

google.cloud.aiplatform.TensorboardExperiment.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TensorboardExperiment.labels

google.cloud.aiplatform.TensorboardExperiment.name

Name of this resource.

See more: google.cloud.aiplatform.TensorboardExperiment.name

google.cloud.aiplatform.TensorboardExperiment.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TensorboardExperiment.resource_name

google.cloud.aiplatform.TensorboardExperiment.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TensorboardExperiment.update_time

google.cloud.aiplatform.TensorboardRun.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TensorboardRun.create_time

google.cloud.aiplatform.TensorboardRun.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TensorboardRun.display_name

google.cloud.aiplatform.TensorboardRun.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardRun.encryption_spec

google.cloud.aiplatform.TensorboardRun.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TensorboardRun.gca_resource

google.cloud.aiplatform.TensorboardRun.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TensorboardRun.labels

google.cloud.aiplatform.TensorboardRun.name

Name of this resource.

See more: google.cloud.aiplatform.TensorboardRun.name

google.cloud.aiplatform.TensorboardRun.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TensorboardRun.resource_name

google.cloud.aiplatform.TensorboardRun.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TensorboardRun.update_time

google.cloud.aiplatform.TensorboardTimeSeries.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TensorboardTimeSeries.create_time

google.cloud.aiplatform.TensorboardTimeSeries.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TensorboardTimeSeries.display_name

google.cloud.aiplatform.TensorboardTimeSeries.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TensorboardTimeSeries.encryption_spec

google.cloud.aiplatform.TensorboardTimeSeries.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TensorboardTimeSeries.gca_resource

google.cloud.aiplatform.TensorboardTimeSeries.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TensorboardTimeSeries.labels

google.cloud.aiplatform.TensorboardTimeSeries.name

Name of this resource.

See more: google.cloud.aiplatform.TensorboardTimeSeries.name

google.cloud.aiplatform.TensorboardTimeSeries.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TensorboardTimeSeries.resource_name

google.cloud.aiplatform.TensorboardTimeSeries.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TensorboardTimeSeries.update_time

google.cloud.aiplatform.TextDataset.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TextDataset.create_time

google.cloud.aiplatform.TextDataset.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TextDataset.display_name

google.cloud.aiplatform.TextDataset.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TextDataset.encryption_spec

google.cloud.aiplatform.TextDataset.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TextDataset.gca_resource

google.cloud.aiplatform.TextDataset.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TextDataset.labels

google.cloud.aiplatform.TextDataset.metadata_schema_uri

The metadata schema uri of this dataset resource.

See more: google.cloud.aiplatform.TextDataset.metadata_schema_uri

google.cloud.aiplatform.TextDataset.name

Name of this resource.

See more: google.cloud.aiplatform.TextDataset.name

google.cloud.aiplatform.TextDataset.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TextDataset.resource_name

google.cloud.aiplatform.TextDataset.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TextDataset.update_time

google.cloud.aiplatform.TimeSeriesDataset.column_names

Retrieve the columns for the dataset by extracting it from the Google Cloud Storage or Google BigQuery source.

See more: google.cloud.aiplatform.TimeSeriesDataset.column_names

google.cloud.aiplatform.TimeSeriesDataset.create_time

Time this resource was created.

See more: google.cloud.aiplatform.TimeSeriesDataset.create_time

google.cloud.aiplatform.TimeSeriesDataset.display_name

Display name of this resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.display_name

google.cloud.aiplatform.TimeSeriesDataset.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.encryption_spec

google.cloud.aiplatform.TimeSeriesDataset.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TimeSeriesDataset.gca_resource

google.cloud.aiplatform.TimeSeriesDataset.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.labels

google.cloud.aiplatform.TimeSeriesDataset.metadata_schema_uri

The metadata schema uri of this dataset resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.metadata_schema_uri

google.cloud.aiplatform.TimeSeriesDataset.name

Name of this resource.

See more: google.cloud.aiplatform.TimeSeriesDataset.name

google.cloud.aiplatform.TimeSeriesDataset.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.TimeSeriesDataset.resource_name

google.cloud.aiplatform.TimeSeriesDataset.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.TimeSeriesDataset.update_time

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.create_time

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.display_name

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.encryption_spec

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.end_time

Time when the TrainingJob resource entered the PIPELINE_STATE_SUCCEEDED, PIPELINE_STATE_FAILED, PIPELINE_STATE_CANCELLED state.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.end_time

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.error

Detailed error info for this TrainingJob resource.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.error

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.evaluated_data_items_bigquery_uri

BigQuery location of exported evaluated examples from the Training Job.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.evaluated_data_items_bigquery_uri

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.gca_resource

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.has_failed

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.labels

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.name

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.resource_name

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.start_time

Time when the TrainingJob entered the PIPELINE_STATE_RUNNING for the first time.

See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.start_time

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.state

google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.update_time

google.cloud.aiplatform.VideoDataset.create_time

Time this resource was created.

See more: google.cloud.aiplatform.VideoDataset.create_time

google.cloud.aiplatform.VideoDataset.display_name

Display name of this resource.

See more: google.cloud.aiplatform.VideoDataset.display_name

google.cloud.aiplatform.VideoDataset.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: google.cloud.aiplatform.VideoDataset.encryption_spec

google.cloud.aiplatform.VideoDataset.gca_resource

The underlying resource proto representation.

See more: google.cloud.aiplatform.VideoDataset.gca_resource

google.cloud.aiplatform.VideoDataset.labels

User-defined labels containing metadata about this resource.

See more: google.cloud.aiplatform.VideoDataset.labels

google.cloud.aiplatform.VideoDataset.metadata_schema_uri

The metadata schema uri of this dataset resource.

See more: google.cloud.aiplatform.VideoDataset.metadata_schema_uri

google.cloud.aiplatform.VideoDataset.name

Name of this resource.

See more: google.cloud.aiplatform.VideoDataset.name

google.cloud.aiplatform.VideoDataset.resource_name

Full qualified resource name.

See more: google.cloud.aiplatform.VideoDataset.resource_name

google.cloud.aiplatform.VideoDataset.update_time

Time this resource was last updated.

See more: google.cloud.aiplatform.VideoDataset.update_time

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_name

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_version

google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.model_class

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.transport

google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.dataset_service.DatasetServiceClient.universe_domain

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.transport

google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.universe_domain

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.transport

google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.endpoint_service.EndpointServiceClient.universe_domain

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.transport

google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.universe_domain

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.transport

google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.universe_domain

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.transport

google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.universe_domain

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.transport

google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.universe_domain

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.transport

google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceClient.universe_domain

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.transport

google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceClient.universe_domain

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.transport

google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.universe_domain

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.transport

google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.index_service.IndexServiceClient.universe_domain

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.transport

google.cloud.aiplatform_v1.services.job_service.JobServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.job_service.JobServiceClient.universe_domain

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.transport

google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceClient.universe_domain

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.transport

google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.match_service.MatchServiceClient.universe_domain

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.transport

google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.metadata_service.MetadataServiceClient.universe_domain

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.transport

google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.migration_service.MigrationServiceClient.universe_domain

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.transport

google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceClient.universe_domain

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.transport

google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.universe_domain

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.transport

google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.notebook_service.NotebookServiceClient.universe_domain

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.transport

google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.universe_domain

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.transport

google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.pipeline_service.PipelineServiceClient.universe_domain

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.transport

google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.prediction_service.PredictionServiceClient.universe_domain

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.transport

google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.schedule_service.ScheduleServiceClient.universe_domain

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.transport

google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.universe_domain

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.transport

google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceClient.universe_domain

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.transport

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.api_endpoint

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.transport

google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1.services.vizier_service.VizierServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.transport

google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.dataset_service.DatasetServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.transport

google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.transport

google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.transport

google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.transport

google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.transport

google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.transport

google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.transport

google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.transport

google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.transport

google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.transport

google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.transport

google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.transport

google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.transport

google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.transport

google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.index_service.IndexServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.transport

google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.job_service.JobServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.transport

google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.transport

google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.match_service.MatchServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.transport

google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.transport

google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.transport

google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.transport

google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.transport

google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.model_service.ModelServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.transport

google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.transport

google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.transport

google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.transport

google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.transport

google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.transport

google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.transport

google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.transport

google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.transport

google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.transport

google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.transport

google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.transport

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceAsyncClient.universe_domain

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.api_endpoint

Return the API endpoint used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.api_endpoint

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.transport

Returns the transport used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.transport

google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.universe_domain

Return the universe domain used by the client instance.

See more: google.cloud.aiplatform_v1beta1.services.vizier_service.VizierServiceClient.universe_domain

vertexai.generative_models.Image.data

Returns the image data.

See more: vertexai.generative_models.Image.data

vertexai.language_models.ChatSession.message_history

List of previous messages.

See more: vertexai.language_models.ChatSession.message_history

vertexai.language_models.CodeChatSession.message_history

List of previous messages.

See more: vertexai.language_models.CodeChatSession.message_history

vertexai.language_models.TextGenerationResponse.raw_prediction_response

vertexai.preview.generative_models.Image.data

Returns the image data.

See more: vertexai.preview.generative_models.Image.data

vertexai.preview.language_models.EvaluationClassificationMetric.input_dataset_paths

The Google Cloud Storage paths to the dataset used for this evaluation.

See more: vertexai.preview.language_models.EvaluationClassificationMetric.input_dataset_paths

vertexai.preview.language_models.EvaluationClassificationMetric.task_name

The type of evaluation task for the evaluation.

See more: vertexai.preview.language_models.EvaluationClassificationMetric.task_name

vertexai.preview.language_models.EvaluationMetric.input_dataset_paths

The Google Cloud Storage paths to the dataset used for this evaluation.

See more: vertexai.preview.language_models.EvaluationMetric.input_dataset_paths

vertexai.preview.language_models.EvaluationMetric.task_name

The type of evaluation task for the evaluation.

See more: vertexai.preview.language_models.EvaluationMetric.task_name

vertexai.preview.language_models.TextGenerationResponse.raw_prediction_response

vertexai.preview.reasoning_engines.ReasoningEngine.create_time

Time this resource was created.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.create_time

vertexai.preview.reasoning_engines.ReasoningEngine.display_name

Display name of this resource.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.display_name

vertexai.preview.reasoning_engines.ReasoningEngine.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.encryption_spec

vertexai.preview.reasoning_engines.ReasoningEngine.gca_resource

The underlying resource proto representation.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.gca_resource

vertexai.preview.reasoning_engines.ReasoningEngine.labels

User-defined labels containing metadata about this resource.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.labels

vertexai.preview.reasoning_engines.ReasoningEngine.name

vertexai.preview.reasoning_engines.ReasoningEngine.resource_name

vertexai.preview.reasoning_engines.ReasoningEngine.update_time

Time this resource was last updated.

See more: vertexai.preview.reasoning_engines.ReasoningEngine.update_time

vertexai.preview.vision_models.GeneratedImage.generation_parameters

Image generation parameters as a dictionary.

See more: vertexai.preview.vision_models.GeneratedImage.generation_parameters

vertexai.resources.preview.ml_monitoring.ModelMonitor.create_time

vertexai.resources.preview.ml_monitoring.ModelMonitor.display_name

vertexai.resources.preview.ml_monitoring.ModelMonitor.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitor.encryption_spec

vertexai.resources.preview.ml_monitoring.ModelMonitor.gca_resource

The underlying resource proto representation.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitor.gca_resource

vertexai.resources.preview.ml_monitoring.ModelMonitor.labels

User-defined labels containing metadata about this resource.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitor.labels

vertexai.resources.preview.ml_monitoring.ModelMonitor.name

vertexai.resources.preview.ml_monitoring.ModelMonitor.resource_name

vertexai.resources.preview.ml_monitoring.ModelMonitor.update_time

Time this resource was last updated.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitor.update_time

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.create_time

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.display_name

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.encryption_spec

Customer-managed encryption key options for this Vertex AI resource.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.encryption_spec

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.gca_resource

The underlying resource proto representation.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.gca_resource

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.labels

User-defined labels containing metadata about this resource.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.labels

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.name

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.resource_name

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.state

Fetch Job again and return the current JobState.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.state

vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.update_time

Time this resource was last updated.

See more: vertexai.resources.preview.ml_monitoring.ModelMonitoringJob.update_time