Class UpdateModelDeploymentMonitoringJobRequest.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
com.google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest.Builder
All Implemented Interfaces:
UpdateModelDeploymentMonitoringJobRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
UpdateModelDeploymentMonitoringJobRequest

public static final class UpdateModelDeploymentMonitoringJobRequest.Builder extends com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder> implements UpdateModelDeploymentMonitoringJobRequestOrBuilder
 Request message for
 [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.UpdateModelDeploymentMonitoringJob].
 
Protobuf type google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest
  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
    • clear

      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
    • getDefaultInstanceForType

      public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
    • build

      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder
    • buildPartial

      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder
    • mergeFrom

      public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
    • mergeFrom

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
    • mergeFrom

      public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>
      Throws:
      IOException
    • hasModelDeploymentMonitoringJob

      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];
      Specified by:
      hasModelDeploymentMonitoringJob in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
      Returns:
      Whether the modelDeploymentMonitoringJob field is set.
    • getModelDeploymentMonitoringJob

      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];
      Specified by:
      getModelDeploymentMonitoringJob in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
      Returns:
      The modelDeploymentMonitoringJob.
    • setModelDeploymentMonitoringJob

       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];
    • setModelDeploymentMonitoringJob

      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];
    • mergeModelDeploymentMonitoringJob

      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];
    • clearModelDeploymentMonitoringJob

      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];
    • getModelDeploymentMonitoringJobBuilder

      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];
    • getModelDeploymentMonitoringJobOrBuilder

      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];
      Specified by:
      getModelDeploymentMonitoringJobOrBuilder in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
    • hasUpdateMask

      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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasUpdateMask in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
      Returns:
      Whether the updateMask field is set.
    • getUpdateMask

      public com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getUpdateMask in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
      Returns:
      The updateMask.
    • setUpdateMask

      public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
    • setUpdateMask

      public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
    • mergeUpdateMask

      public UpdateModelDeploymentMonitoringJobRequest.Builder mergeUpdateMask(com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
    • 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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
    • getUpdateMaskBuilder

      public com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
    • getUpdateMaskOrBuilder

      public com.google.protobuf.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_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`
       
      .google.protobuf.FieldMask update_mask = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getUpdateMaskOrBuilder in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder