- 1.75.0 (latest)
- 1.74.0
- 1.73.0
- 1.72.0
- 1.71.1
- 1.70.0
- 1.69.0
- 1.68.0
- 1.67.1
- 1.66.0
- 1.65.0
- 1.63.0
- 1.62.0
- 1.60.0
- 1.59.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.1
- 1.53.0
- 1.52.0
- 1.51.0
- 1.50.0
- 1.49.0
- 1.48.0
- 1.47.0
- 1.46.0
- 1.45.0
- 1.44.0
- 1.43.0
- 1.39.0
- 1.38.1
- 1.37.0
- 1.36.4
- 1.35.0
- 1.34.0
- 1.33.1
- 1.32.0
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.1
- 1.27.1
- 1.26.1
- 1.25.0
- 1.24.1
- 1.23.0
- 1.22.1
- 1.21.0
- 1.20.0
- 1.19.1
- 1.18.3
- 1.17.1
- 1.16.1
- 1.15.1
- 1.14.0
- 1.13.1
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.0
- 1.8.1
- 1.7.1
- 1.6.2
- 1.5.0
- 1.4.3
- 1.3.0
- 1.2.0
- 1.1.1
- 1.0.1
- 0.9.0
- 0.8.0
- 0.7.1
- 0.6.0
- 0.5.1
- 0.4.0
- 0.3.1
Summary of entries of Properties and Attributes for aiplatform.
google.cloud.aiplatform.Artifact.create_time
Time this resource was created.
google.cloud.aiplatform.Artifact.display_name
Display name of this resource.
google.cloud.aiplatform.Artifact.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.Artifact.gca_resource
The underlying resource proto representation.
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.
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.
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
Display name of this resource.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.name
google.cloud.aiplatform.AutoMLForecastingTrainingJob.resource_name
Full qualified resource name.
See more: 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
Current training state.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.name
google.cloud.aiplatform.AutoMLTabularTrainingJob.resource_name
Full qualified resource name.
See more: 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
Current training state.
See more: 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.
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.
google.cloud.aiplatform.BatchPredictionJob.name
Name of this resource.
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.
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
Name of this resource.
See more: 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
Full qualified resource name.
See more: 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
Current training state.
See more: 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.
google.cloud.aiplatform.CustomJob.display_name
Display name of this resource.
google.cloud.aiplatform.CustomJob.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.CustomJob.end_time
Time when the Job resource entered the JOB_STATE_SUCCEEDED,
JOB_STATE_FAILED, or JOB_STATE_CANCELLED state.
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.
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.
google.cloud.aiplatform.CustomJob.preview
Exposes features available in preview for this class.
google.cloud.aiplatform.CustomJob.resource_name
Full qualified resource name.
google.cloud.aiplatform.CustomJob.start_time
Time when the Job resource entered the JOB_STATE_RUNNING for the
first 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.
google.cloud.aiplatform.CustomJob.web_access_uris
Fetch the runnable job again and return the latest web access uris.
google.cloud.aiplatform.CustomPythonPackageTrainingJob.create_time
Time this resource was created.
See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.create_time
google.cloud.aiplatform.CustomPythonPackageTrainingJob.display_name
Display name of this resource.
See more: 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
Name of this resource.
See more: 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
Full qualified resource name.
See more: 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
Current training state.
See more: 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.
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.
google.cloud.aiplatform.CustomTrainingJob.name
Name of this resource.
google.cloud.aiplatform.CustomTrainingJob.network
The full name of the Google Compute Engine network to which this CustomTrainingJob should be peered.
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.
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.
google.cloud.aiplatform.Endpoint.display_name
Display name of this resource.
google.cloud.aiplatform.Endpoint.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.Endpoint.gca_resource
The underlying resource proto representation.
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.resource_name
Full qualified 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.
google.cloud.aiplatform.Endpoint.update_time
Time this resource was last updated.
google.cloud.aiplatform.EntityType.create_time
Time this resource was created.
google.cloud.aiplatform.EntityType.display_name
Display name of this resource.
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.
google.cloud.aiplatform.EntityType.labels
User-defined labels containing metadata about this resource.
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.
google.cloud.aiplatform.EntityType.resource_name
Full qualified resource name.
google.cloud.aiplatform.EntityType.update_time
Time this resource was last updated.
google.cloud.aiplatform.Execution.create_time
Time this resource was created.
google.cloud.aiplatform.Execution.display_name
Display name of this resource.
google.cloud.aiplatform.Execution.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.Execution.gca_resource
The underlying resource proto representation.
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.
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.
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.
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.
google.cloud.aiplatform.ExperimentRun.credentials
The credentials used to access this experiment run.
google.cloud.aiplatform.ExperimentRun.location
The location that this experiment is located in.
google.cloud.aiplatform.ExperimentRun.name
This run's name used to identify this run within it's Experiment.
google.cloud.aiplatform.ExperimentRun.project
The project that this experiment run is located in.
google.cloud.aiplatform.ExperimentRun.resource_id
The resource ID of this experiment run's Metadata context.
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.
google.cloud.aiplatform.Feature.create_time
Time this resource was created.
google.cloud.aiplatform.Feature.display_name
Display name of this resource.
google.cloud.aiplatform.Feature.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.Feature.entity_type_name
Full qualified resource name of the managed entityType in which this Feature is.
google.cloud.aiplatform.Feature.featurestore_name
Full qualified resource name of the managed featurestore in which this Feature is.
google.cloud.aiplatform.Feature.gca_resource
The underlying resource proto representation.
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.
google.cloud.aiplatform.Feature.update_time
Time this resource was last updated.
google.cloud.aiplatform.Featurestore.create_time
Time this resource was created.
google.cloud.aiplatform.Featurestore.display_name
Display name of this resource.
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.
google.cloud.aiplatform.Featurestore.labels
User-defined labels containing metadata about this resource.
google.cloud.aiplatform.Featurestore.name
Name of this resource.
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.
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
Name of this resource.
See more: 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.
google.cloud.aiplatform.ImageDataset.display_name
Display name of this resource.
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.
google.cloud.aiplatform.ImageDataset.labels
User-defined labels containing metadata about this resource.
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.
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.
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.
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
Display name of this resource.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.name
google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_access_network
"Private service access network.
See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_access_network
google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_connect_ip_address
"Private service connect ip address.
See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.private_service_connect_ip_address
google.cloud.aiplatform.MatchingEngineIndexEndpoint.public_endpoint_domain_name
Public endpoint DNS name.
See more: google.cloud.aiplatform.MatchingEngineIndexEndpoint.public_endpoint_domain_name
google.cloud.aiplatform.MatchingEngineIndexEndpoint.resource_name
Full qualified resource name.
See more: 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.
google.cloud.aiplatform.Model.create_time
Time this resource was created.
google.cloud.aiplatform.Model.description
Description of the model.
google.cloud.aiplatform.Model.display_name
Display name of this resource.
google.cloud.aiplatform.Model.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
google.cloud.aiplatform.Model.gca_resource
The underlying resource proto representation.
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.
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.
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.
google.cloud.aiplatform.Model.update_time
Time this resource was last updated.
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.
google.cloud.aiplatform.Model.version_create_time
Timestamp when this version was created.
google.cloud.aiplatform.Model.version_description
The description of this version.
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.
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.
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
Display name of this resource.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.ModelDeploymentMonitoringJob.name
google.cloud.aiplatform.ModelDeploymentMonitoringJob.resource_name
Full qualified resource name.
See more: 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.
google.cloud.aiplatform.ModelEvaluation.metrics
Gets the evaluation metrics from the Model Evaluation.
google.cloud.aiplatform.ModelEvaluation.name
Name of this resource.
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.
google.cloud.aiplatform.PipelineJob.display_name
Display name of this resource.
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.
google.cloud.aiplatform.PipelineJob.has_failed
Returns True if pipeline has failed.
google.cloud.aiplatform.PipelineJob.labels
User-defined labels containing metadata about this resource.
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.
google.cloud.aiplatform.PipelineJob.state
Current pipeline state.
google.cloud.aiplatform.PipelineJob.update_time
Time this resource was last updated.
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.
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.
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.
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.
google.cloud.aiplatform.PrivateEndpoint.name
Name of this resource.
google.cloud.aiplatform.PrivateEndpoint.network
The full name of the Google Compute Engine network to which this Endpoint should be peered.
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.
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
Time this resource was created.
See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.create_time
google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.display_name
Display name of this resource.
See more: 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.
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
Returns True if training has failed.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.name
google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.resource_name
Full qualified resource name.
See more: 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
Current training state.
See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.state
google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.update_time
Time this resource was last updated.
See more: 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.
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.
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
Time this resource was created.
See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.create_time
google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.display_name
Display name of this resource.
See more: 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.
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
Returns True if training has failed.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.name
google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.resource_name
Full qualified resource name.
See more: 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
Current training state.
See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.state
google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.update_time
Time this resource was last updated.
See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.update_time
google.cloud.aiplatform.Tensorboard.create_time
Time this resource was created.
google.cloud.aiplatform.Tensorboard.display_name
Display name of this resource.
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.
google.cloud.aiplatform.Tensorboard.labels
User-defined labels containing metadata about this resource.
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.
google.cloud.aiplatform.Tensorboard.update_time
Time this resource was last updated.
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.
google.cloud.aiplatform.TensorboardRun.name
Name of this resource.
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.
google.cloud.aiplatform.TextDataset.display_name
Display name of this resource.
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.
google.cloud.aiplatform.TextDataset.labels
User-defined labels containing metadata about this resource.
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.
google.cloud.aiplatform.TextDataset.update_time
Time this resource was last updated.
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.
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.
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
Time this resource was created.
See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.create_time
google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.display_name
Display name of this resource.
See more: 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.
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
Returns True if training has failed.
See more: 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
Name of this resource.
See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.name
google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.resource_name
Full qualified resource name.
See more: 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
Current training state.
See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.state
google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.update_time
Time this resource was last updated.
See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.update_time
google.cloud.aiplatform.VideoDataset.create_time
Time this resource was created.
google.cloud.aiplatform.VideoDataset.display_name
Display name of this resource.
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.
google.cloud.aiplatform.VideoDataset.labels
User-defined labels containing metadata about this resource.
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.
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.
google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_name
The framework name of the saved ML model.
See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_name
google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_version
The framework version of the saved ML model.
See more: google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.framework_version
google.cloud.aiplatform.metadata.schema.google.artifact_schema.ExperimentModel.model_class
The class name of the saved ML model.
See more: 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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.transport
google.cloud.aiplatform_v1.services.feature_registry_service.FeatureRegistryServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.featurestore_service.FeaturestoreServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.api_endpoint
google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.transport
google.cloud.aiplatform_v1.services.index_endpoint_service.IndexEndpointServiceClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.llm_utility_service.LlmUtilityServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.model_garden_service.ModelGardenServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.persistent_resource_service.PersistentResourceServiceClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.api_endpoint
google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.transport
google.cloud.aiplatform_v1.services.specialist_pool_service.SpecialistPoolServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.tensorboard_service.TensorboardServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.deployment_resource_pool_service.DeploymentResourcePoolServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.endpoint_service.EndpointServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.evaluation_service.EvaluationServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_execution_service.ExtensionExecutionServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.extension_registry_service.ExtensionRegistryServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.FeatureOnlineStoreAdminServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_online_store_service.FeatureOnlineStoreServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.feature_registry_service.FeatureRegistryServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_online_serving_service.FeaturestoreOnlineServingServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.transport
google.cloud.aiplatform_v1beta1.services.featurestore_service.FeaturestoreServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.transport
google.cloud.aiplatform_v1beta1.services.index_endpoint_service.IndexEndpointServiceClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.llm_utility_service.LlmUtilityServiceClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.metadata_service.MetadataServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.migration_service.MigrationServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.transport
google.cloud.aiplatform_v1beta1.services.model_garden_service.ModelGardenServiceClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.notebook_service.NotebookServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.persistent_resource_service.PersistentResourceServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.pipeline_service.PipelineServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.prediction_service.PredictionServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_execution_service.ReasoningEngineExecutionServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.reasoning_engine_service.ReasoningEngineServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.schedule_service.ScheduleServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: 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
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.specialist_pool_service.SpecialistPoolServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.transport
google.cloud.aiplatform_v1beta1.services.tensorboard_service.TensorboardServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_data_service.VertexRagDataServiceClient.universe_domain
Return the universe domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.vertex_rag_service.VertexRagServiceAsyncClient.universe_domain
Return the universe domain used by the client instance.
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
Raw prediction response.
See more: vertexai.language_models.TextGenerationResponse.raw_prediction_response
vertexai.preview.generative_models.Image.data
Returns the 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
Raw prediction response.
See more: 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
Name of this resource.
See more: vertexai.preview.reasoning_engines.ReasoningEngine.name
vertexai.preview.reasoning_engines.ReasoningEngine.resource_name
Fully-qualified resource name.
See more: 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