public static final class UpdateModelDeploymentMonitoringJobRequest.Builder extends GeneratedMessageV3.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder> implements UpdateModelDeploymentMonitoringJobRequestOrBuilder
Request message for
JobService.UpdateModelDeploymentMonitoringJob.
Protobuf type google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public UpdateModelDeploymentMonitoringJobRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
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Overrides
public UpdateModelDeploymentMonitoringJobRequest build()
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public UpdateModelDeploymentMonitoringJobRequest buildPartial()
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public UpdateModelDeploymentMonitoringJobRequest.Builder clear()
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Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
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Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder clearModelDeploymentMonitoringJob()
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder clearUpdateMask()
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder clone()
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Overrides
public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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Overrides
public ModelDeploymentMonitoringJob getModelDeploymentMonitoringJob()
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public ModelDeploymentMonitoringJob.Builder getModelDeploymentMonitoringJobBuilder()
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public ModelDeploymentMonitoringJobOrBuilder getModelDeploymentMonitoringJobOrBuilder()
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public FieldMask getUpdateMask()
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public FieldMask.Builder getUpdateMaskBuilder()
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public FieldMaskOrBuilder getUpdateMaskOrBuilder()
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public boolean hasModelDeploymentMonitoringJob()
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the modelDeploymentMonitoringJob field is set.
|
public boolean hasUpdateMask()
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the updateMask field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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Overrides
public final boolean isInitialized()
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Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(UpdateModelDeploymentMonitoringJobRequest other)
Parameter
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public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
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Overrides
Exceptions
public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder mergeModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public final UpdateModelDeploymentMonitoringJobRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder mergeUpdateMask(FieldMask value)
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob.Builder builderForValue)
Required. The model monitoring configuration which replaces the resource on the
server.
.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
public final UpdateModelDeploymentMonitoringJobRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(FieldMask value)
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(FieldMask.Builder builderForValue)
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_namemodel_deployment_monitoring_schedule_configmodel_monitoring_alert_configlogging_sampling_strategylabelslog_ttlenable_monitoring_pipeline_logs
. andmodel_deployment_monitoring_objective_configs
. ormodel_deployment_monitoring_objective_configs.objective_config.training_datasetmodel_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_configmodel_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config
.google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| builderForValue | Builder
|
Returns
