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public sealed class UpdateModelDeploymentMonitoringJobRequest : IMessage<UpdateModelDeploymentMonitoringJobRequest>, IEquatable<UpdateModelDeploymentMonitoringJobRequest>, IDeepCloneable<UpdateModelDeploymentMonitoringJobRequest>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class UpdateModelDeploymentMonitoringJobRequest.
Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
Implements
IMessageUpdateModelDeploymentMonitoringJobRequest, IEquatableUpdateModelDeploymentMonitoringJobRequest, IDeepCloneableUpdateModelDeploymentMonitoringJobRequest, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
UpdateModelDeploymentMonitoringJobRequest()
public UpdateModelDeploymentMonitoringJobRequest()
UpdateModelDeploymentMonitoringJobRequest(UpdateModelDeploymentMonitoringJobRequest)
public UpdateModelDeploymentMonitoringJobRequest(UpdateModelDeploymentMonitoringJobRequest other)
Parameter | |
---|---|
Name | Description |
other | UpdateModelDeploymentMonitoringJobRequest |
Properties
ModelDeploymentMonitoringJob
public ModelDeploymentMonitoringJob ModelDeploymentMonitoringJob { get; set; }
Required. The model monitoring configuration which replaces the resource on the server.
Property Value | |
---|---|
Type | Description |
ModelDeploymentMonitoringJob |
UpdateMask
public FieldMask UpdateMask { get; set; }
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
. andmodel_deployment_monitoring_objective_configs
. ormodel_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
Property Value | |
---|---|
Type | Description |
FieldMask |