Class: Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest

Inherits:

Object

• Object
• Google::Cloud::AIPlatform::V1::UpdateModelDeploymentMonitoringJobRequest

Extended by:

Protobuf::MessageExts::ClassMethods

Includes:

Protobuf::MessageExts

Defined in:

proto_docs/google/cloud/aiplatform/v1/job_service.rb

Overview

Request message for JobService.UpdateModelDeploymentMonitoringJob.

Instance Attribute Summary

• #model_deployment_monitoring_job ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

  Required.

• #update_mask ⇒ ::Google::Protobuf::FieldMask

  Required.

Instance Attribute Details

#model_deployment_monitoring_job ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob

Returns Required. The model monitoring configuration which replaces the resource on the server.

Returns:

• (::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringJob) —

  Required. The model monitoring configuration which replaces the resource on the server.

# File 'proto_docs/google/cloud/aiplatform/v1/job_service.rb', line 840

class UpdateModelDeploymentMonitoringJobRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#update_mask ⇒ ::Google::Protobuf::FieldMask

Returns 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.

Returns:

• (::Google::Protobuf::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

# File 'proto_docs/google/cloud/aiplatform/v1/job_service.rb', line 840

class UpdateModelDeploymentMonitoringJobRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end