- 1.106.0 (latest)
- 1.105.0
- 1.104.0
- 1.103.0
- 1.102.0
- 1.101.0
- 1.100.0
- 1.99.0
- 1.98.0
- 1.97.0
- 1.96.0
- 1.95.1
- 1.94.0
- 1.93.1
- 1.92.0
- 1.91.0
- 1.90.0
- 1.89.0
- 1.88.0
- 1.87.0
- 1.86.0
- 1.85.0
- 1.84.0
- 1.83.0
- 1.82.0
- 1.81.0
- 1.80.0
- 1.79.0
- 1.78.0
- 1.77.0
- 1.76.0
- 1.75.0
- 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
Optional.
See more: google.cloud.aiplatform.AutoMLForecastingTrainingJob.end_time
google.cloud.aiplatform.AutoMLForecastingTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.AutoMLImageTrainingJob.end_time
google.cloud.aiplatform.AutoMLImageTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.AutoMLTabularTrainingJob.end_time
google.cloud.aiplatform.AutoMLTabularTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.AutoMLTextTrainingJob.end_time
google.cloud.aiplatform.AutoMLTextTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.AutoMLVideoTrainingJob.end_time
google.cloud.aiplatform.AutoMLVideoTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.CustomContainerTrainingJob.end_time
google.cloud.aiplatform.CustomContainerTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Returns the URIs used to access the custom training 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
Optional.
See more: google.cloud.aiplatform.CustomPythonPackageTrainingJob.end_time
google.cloud.aiplatform.CustomPythonPackageTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Returns the URIs used to access the custom training 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
Optional.
See more: google.cloud.aiplatform.CustomTrainingJob.end_time
google.cloud.aiplatform.CustomTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Returns the URIs used to access the custom training job.
See more: google.cloud.aiplatform.CustomTrainingJob.web_access_uris
google.cloud.aiplatform.DeploymentResourcePool.create_time
Time this resource was created.
See more: google.cloud.aiplatform.DeploymentResourcePool.create_time
google.cloud.aiplatform.DeploymentResourcePool.display_name
Display name of this resource.
See more: google.cloud.aiplatform.DeploymentResourcePool.display_name
google.cloud.aiplatform.DeploymentResourcePool.encryption_spec
Customer-managed encryption key options for this Vertex AI resource.
See more: google.cloud.aiplatform.DeploymentResourcePool.encryption_spec
google.cloud.aiplatform.DeploymentResourcePool.gca_resource
The underlying resource proto representation.
See more: google.cloud.aiplatform.DeploymentResourcePool.gca_resource
google.cloud.aiplatform.DeploymentResourcePool.labels
User-defined labels containing metadata about this resource.
See more: google.cloud.aiplatform.DeploymentResourcePool.labels
google.cloud.aiplatform.DeploymentResourcePool.name
Name of this resource.
See more: google.cloud.aiplatform.DeploymentResourcePool.name
google.cloud.aiplatform.DeploymentResourcePool.resource_name
Full qualified resource name.
See more: google.cloud.aiplatform.DeploymentResourcePool.resource_name
google.cloud.aiplatform.DeploymentResourcePool.update_time
Time this resource was last updated.
See more: google.cloud.aiplatform.DeploymentResourcePool.update_time
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.private_service_connect_config
The Private Service Connect configuration for this Endpoint.
See more: google.cloud.aiplatform.Endpoint.private_service_connect_config
google.cloud.aiplatform.Endpoint.resource_name
Full qualified resource name.
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.private_service_connect_config
The Private Service Connect configuration for this Endpoint.
See more: google.cloud.aiplatform.PrivateEndpoint.private_service_connect_config
google.cloud.aiplatform.PrivateEndpoint.resource_name
Full qualified resource name.
See more: google.cloud.aiplatform.PrivateEndpoint.resource_name
google.cloud.aiplatform.PrivateEndpoint.traffic_split
A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.
See more: google.cloud.aiplatform.PrivateEndpoint.traffic_split
google.cloud.aiplatform.PrivateEndpoint.update_time
Time this resource was last updated.
See more: google.cloud.aiplatform.PrivateEndpoint.update_time
google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.create_time
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
Optional.
See more: google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.end_time
google.cloud.aiplatform.SequenceToSequencePlusForecastingTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.end_time
google.cloud.aiplatform.TemporalFusionTransformerForecastingTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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
Optional.
See more: google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.end_time
google.cloud.aiplatform.TimeSeriesDenseEncoderForecastingTrainingJob.error
Optional.
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 the training job failed, otherwise false.
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
Optional.
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.evaluation_service.EvaluationServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceAsyncClient.api_endpoint
google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceAsyncClient.transport
google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceAsyncClient.universe_domain
Return the universe ___domain used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceAsyncClient.universe_domain
google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.api_endpoint
google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.transport
google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.universe_domain
Return the universe ___domain used by the client instance.
See more: google.cloud.aiplatform_v1.services.evaluation_service.EvaluationServiceClient.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.gen_ai_cache_service.GenAiCacheServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.transport
google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceAsyncClient.universe_domain
Return the universe ___domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.transport
google.cloud.aiplatform_v1beta1.services.gen_ai_cache_service.GenAiCacheServiceClient.universe_domain
Return the universe ___domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceAsyncClient.universe_domain
Return the universe ___domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.api_endpoint
Return the API endpoint used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.api_endpoint
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.transport
Returns the transport used by the client instance.
See more: google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.transport
google.cloud.aiplatform_v1beta1.services.gen_ai_tuning_service.GenAiTuningServiceClient.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_monitoring_service.ModelMonitoringServiceAsyncClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceAsyncClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceAsyncClient.universe_domain
Return the universe ___domain used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.api_endpoint
Return the API endpoint used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.transport
Returns the transport used by the client instance.
google.cloud.aiplatform_v1beta1.services.model_monitoring_service.ModelMonitoringServiceClient.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