Class UpdateModelDeploymentMonitoringJobRequest (1.48.0)

Version 1.48.0

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UpdateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.UpdateModelDeploymentMonitoringJob.

Attributes
Name	Description
model_deployment_monitoring_job	google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringJob Required. The model monitoring configuration which replaces the resource on the server.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. The update mask is used to specify the fields to be overwritten in the ModelDeploymentMonitoringJob resource by the update. The fields specified in the update_mask are relative to the resource, not the full request. A field will be overwritten if it is in the mask. If the user does not provide a mask then only the non-empty fields present in the request will be overwritten. Set the update_mask to * to override all fields. For the objective config, the user can either provide the update mask for model_deployment_monitoring_objective_configs or any combination of its nested fields, such as: model_deployment_monitoring_objective_configs.objective_config.training_dataset. Updatable fields: - display_name - model_deployment_monitoring_schedule_config - model_monitoring_alert_config - logging_sampling_strategy - labels - log_ttl - enable_monitoring_pipeline_logs . and - model_deployment_monitoring_objective_configs . or - model_deployment_monitoring_objective_configs.objective_config.training_dataset - model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config - model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config

Methods

UpdateModelDeploymentMonitoringJobRequest

UpdateModelDeploymentMonitoringJobRequest(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Request message for JobService.UpdateModelDeploymentMonitoringJob.