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feat: add Vizier service to aiplatform v1 (#671)
* feat: add Vizier service to aiplatform v1 Committer: @dizcology PiperOrigin-RevId: 394116440 Source-Link: googleapis/googleapis@67c780b Source-Link: googleapis/googleapis-gen@994d9a5 * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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‎google/cloud/aiplatform_v1/services/job_service/async_client.py‎

Lines changed: 28 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2218,8 +2218,34 @@ async def update_model_deployment_monitoring_job(
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on the ``request`` instance; if ``request`` is provided, this
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should not be set.
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update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
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Required. The update mask applies to
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the resource.
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Required. The update mask is used to specify the fields
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to be overwritten in the ModelDeploymentMonitoringJob
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resource by the update. The fields specified in the
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update_mask are relative to the resource, not the full
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request. A field will be overwritten if it is in the
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mask. If the user does not provide a mask then only the
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non-empty fields present in the request will be
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overwritten. Set the update_mask to ``*`` to override
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all fields. For the objective config, the user can
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either provide the update mask for
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model_deployment_monitoring_objective_configs or any
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combination of its nested fields, such as:
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model_deployment_monitoring_objective_configs.objective_config.training_dataset.
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Updatable fields:
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- ``display_name``
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- ``model_deployment_monitoring_schedule_config``
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- ``model_monitoring_alert_config``
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- ``logging_sampling_strategy``
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- ``labels``
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- ``log_ttl``
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- ``enable_monitoring_pipeline_logs`` . and
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- ``model_deployment_monitoring_objective_configs`` .
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or
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- ``model_deployment_monitoring_objective_configs.objective_config.training_dataset``
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- ``model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config``
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- ``model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config``
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This corresponds to the ``update_mask`` field
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on the ``request`` instance; if ``request`` is provided, this

‎google/cloud/aiplatform_v1/services/job_service/client.py‎

Lines changed: 28 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2574,8 +2574,34 @@ def update_model_deployment_monitoring_job(
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on the ``request`` instance; if ``request`` is provided, this
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should not be set.
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update_mask (google.protobuf.field_mask_pb2.FieldMask):
2577-
Required. The update mask applies to
2578-
the resource.
2577+
Required. The update mask is used to specify the fields
2578+
to be overwritten in the ModelDeploymentMonitoringJob
2579+
resource by the update. The fields specified in the
2580+
update_mask are relative to the resource, not the full
2581+
request. A field will be overwritten if it is in the
2582+
mask. If the user does not provide a mask then only the
2583+
non-empty fields present in the request will be
2584+
overwritten. Set the update_mask to ``*`` to override
2585+
all fields. For the objective config, the user can
2586+
either provide the update mask for
2587+
model_deployment_monitoring_objective_configs or any
2588+
combination of its nested fields, such as:
2589+
model_deployment_monitoring_objective_configs.objective_config.training_dataset.
2590+
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Updatable fields:
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- ``display_name``
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- ``model_deployment_monitoring_schedule_config``
2595+
- ``model_monitoring_alert_config``
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- ``logging_sampling_strategy``
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- ``labels``
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- ``log_ttl``
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- ``enable_monitoring_pipeline_logs`` . and
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- ``model_deployment_monitoring_objective_configs`` .
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or
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- ``model_deployment_monitoring_objective_configs.objective_config.training_dataset``
2603+
- ``model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config``
2604+
- ``model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config``
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This corresponds to the ``update_mask`` field
25812607
on the ``request`` instance; if ``request`` is provided, this

‎google/cloud/aiplatform_v1/types/job_service.py‎

Lines changed: 26 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -791,8 +791,32 @@ class UpdateModelDeploymentMonitoringJobRequest(proto.Message):
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Required. The model monitoring configuration
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which replaces the resource on the server.
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update_mask (google.protobuf.field_mask_pb2.FieldMask):
794-
Required. The update mask applies to the
795-
resource.
794+
Required. The update mask is used to specify the fields to
795+
be overwritten in the ModelDeploymentMonitoringJob resource
796+
by the update. The fields specified in the update_mask are
797+
relative to the resource, not the full request. A field will
798+
be overwritten if it is in the mask. If the user does not
799+
provide a mask then only the non-empty fields present in the
800+
request will be overwritten. Set the update_mask to ``*`` to
801+
override all fields. For the objective config, the user can
802+
either provide the update mask for
803+
model_deployment_monitoring_objective_configs or any
804+
combination of its nested fields, such as:
805+
model_deployment_monitoring_objective_configs.objective_config.training_dataset.
806+
807+
Updatable fields:
808+
809+
- ``display_name``
810+
- ``model_deployment_monitoring_schedule_config``
811+
- ``model_monitoring_alert_config``
812+
- ``logging_sampling_strategy``
813+
- ``labels``
814+
- ``log_ttl``
815+
- ``enable_monitoring_pipeline_logs`` . and
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- ``model_deployment_monitoring_objective_configs`` . or
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- ``model_deployment_monitoring_objective_configs.objective_config.training_dataset``
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- ``model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config``
819+
- ``model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config``
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"""
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model_deployment_monitoring_job = proto.Field(

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