Class BatchPredictionJob.Builder

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

public static final class BatchPredictionJob.Builder extends com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder> implements BatchPredictionJobOrBuilder
 A job that uses a
 [Model][google.cloud.aiplatform.v1.BatchPredictionJob.model] to produce
 predictions on multiple [input
 instances][google.cloud.aiplatform.v1.BatchPredictionJob.input_config]. If
 predictions for significant portion of the instances fail, the job may finish
 without attempting predictions for all remaining instances.
 
Protobuf type google.cloud.aiplatform.v1.BatchPredictionJob
  • Method Details

    • getDescriptor

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

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
    • internalGetMutableMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
      Overrides:
      internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BatchPredictionJob.Builder>
    • internalGetFieldAccessorTable

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

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

      public BatchPredictionJob build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder
    • buildPartial

      public BatchPredictionJob buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder
    • mergeFrom

      public BatchPredictionJob.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<BatchPredictionJob.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<BatchPredictionJob.Builder>
    • mergeFrom

      public BatchPredictionJob.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<BatchPredictionJob.Builder>
      Throws:
      IOException
    • getName

      public String getName()
       Output only. Resource name of the BatchPredictionJob.
       
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getName in interface BatchPredictionJobOrBuilder
      Returns:
      The name.
    • getNameBytes

      public com.google.protobuf.ByteString getNameBytes()
       Output only. Resource name of the BatchPredictionJob.
       
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getNameBytes in interface BatchPredictionJobOrBuilder
      Returns:
      The bytes for name.
    • setName

      public BatchPredictionJob.Builder setName(String value)
       Output only. Resource name of the BatchPredictionJob.
       
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The name to set.
      Returns:
      This builder for chaining.
    • clearName

      public BatchPredictionJob.Builder clearName()
       Output only. Resource name of the BatchPredictionJob.
       
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.
    • setNameBytes

      public BatchPredictionJob.Builder setNameBytes(com.google.protobuf.ByteString value)
       Output only. Resource name of the BatchPredictionJob.
       
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The bytes for name to set.
      Returns:
      This builder for chaining.
    • getDisplayName

      public String getDisplayName()
       Required. The user-defined name of this BatchPredictionJob.
       
      string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDisplayName in interface BatchPredictionJobOrBuilder
      Returns:
      The displayName.
    • getDisplayNameBytes

      public com.google.protobuf.ByteString getDisplayNameBytes()
       Required. The user-defined name of this BatchPredictionJob.
       
      string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDisplayNameBytes in interface BatchPredictionJobOrBuilder
      Returns:
      The bytes for displayName.
    • setDisplayName

      public BatchPredictionJob.Builder setDisplayName(String value)
       Required. The user-defined name of this BatchPredictionJob.
       
      string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The displayName to set.
      Returns:
      This builder for chaining.
    • clearDisplayName

      public BatchPredictionJob.Builder clearDisplayName()
       Required. The user-defined name of this BatchPredictionJob.
       
      string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.
    • setDisplayNameBytes

      public BatchPredictionJob.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
       Required. The user-defined name of this BatchPredictionJob.
       
      string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The bytes for displayName to set.
      Returns:
      This builder for chaining.
    • getModel

      public String getModel()
       The name of the Model resource that produces the predictions via this job,
       must share the same ancestor Location.
       Starting this job has no impact on any existing deployments of the Model
       and their resources.
       Exactly one of model and unmanaged_container_model must be set.
      
       The model resource name may contain version id or version alias to specify
       the version.
       Example: `projects/{project}/locations/{location}/models/{model}@2`
       or
       `projects/{project}/locations/{location}/models/{model}@golden`
       if no version is specified, the default version will be deployed.
      
       The model resource could also be a publisher model.
       Example: `publishers/{publisher}/models/{model}`
       or
       `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
       
      string model = 3 [(.google.api.resource_reference) = { ... }
      Specified by:
      getModel in interface BatchPredictionJobOrBuilder
      Returns:
      The model.
    • getModelBytes

      public com.google.protobuf.ByteString getModelBytes()
       The name of the Model resource that produces the predictions via this job,
       must share the same ancestor Location.
       Starting this job has no impact on any existing deployments of the Model
       and their resources.
       Exactly one of model and unmanaged_container_model must be set.
      
       The model resource name may contain version id or version alias to specify
       the version.
       Example: `projects/{project}/locations/{location}/models/{model}@2`
       or
       `projects/{project}/locations/{location}/models/{model}@golden`
       if no version is specified, the default version will be deployed.
      
       The model resource could also be a publisher model.
       Example: `publishers/{publisher}/models/{model}`
       or
       `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
       
      string model = 3 [(.google.api.resource_reference) = { ... }
      Specified by:
      getModelBytes in interface BatchPredictionJobOrBuilder
      Returns:
      The bytes for model.
    • setModel

      public BatchPredictionJob.Builder setModel(String value)
       The name of the Model resource that produces the predictions via this job,
       must share the same ancestor Location.
       Starting this job has no impact on any existing deployments of the Model
       and their resources.
       Exactly one of model and unmanaged_container_model must be set.
      
       The model resource name may contain version id or version alias to specify
       the version.
       Example: `projects/{project}/locations/{location}/models/{model}@2`
       or
       `projects/{project}/locations/{location}/models/{model}@golden`
       if no version is specified, the default version will be deployed.
      
       The model resource could also be a publisher model.
       Example: `publishers/{publisher}/models/{model}`
       or
       `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
       
      string model = 3 [(.google.api.resource_reference) = { ... }
      Parameters:
      value - The model to set.
      Returns:
      This builder for chaining.
    • clearModel

      public BatchPredictionJob.Builder clearModel()
       The name of the Model resource that produces the predictions via this job,
       must share the same ancestor Location.
       Starting this job has no impact on any existing deployments of the Model
       and their resources.
       Exactly one of model and unmanaged_container_model must be set.
      
       The model resource name may contain version id or version alias to specify
       the version.
       Example: `projects/{project}/locations/{location}/models/{model}@2`
       or
       `projects/{project}/locations/{location}/models/{model}@golden`
       if no version is specified, the default version will be deployed.
      
       The model resource could also be a publisher model.
       Example: `publishers/{publisher}/models/{model}`
       or
       `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
       
      string model = 3 [(.google.api.resource_reference) = { ... }
      Returns:
      This builder for chaining.
    • setModelBytes

      public BatchPredictionJob.Builder setModelBytes(com.google.protobuf.ByteString value)
       The name of the Model resource that produces the predictions via this job,
       must share the same ancestor Location.
       Starting this job has no impact on any existing deployments of the Model
       and their resources.
       Exactly one of model and unmanaged_container_model must be set.
      
       The model resource name may contain version id or version alias to specify
       the version.
       Example: `projects/{project}/locations/{location}/models/{model}@2`
       or
       `projects/{project}/locations/{location}/models/{model}@golden`
       if no version is specified, the default version will be deployed.
      
       The model resource could also be a publisher model.
       Example: `publishers/{publisher}/models/{model}`
       or
       `projects/{project}/locations/{location}/publishers/{publisher}/models/{model}`
       
      string model = 3 [(.google.api.resource_reference) = { ... }
      Parameters:
      value - The bytes for model to set.
      Returns:
      This builder for chaining.
    • getModelVersionId

      public String getModelVersionId()
       Output only. The version ID of the Model that produces the predictions via
       this job.
       
      string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getModelVersionId in interface BatchPredictionJobOrBuilder
      Returns:
      The modelVersionId.
    • getModelVersionIdBytes

      public com.google.protobuf.ByteString getModelVersionIdBytes()
       Output only. The version ID of the Model that produces the predictions via
       this job.
       
      string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getModelVersionIdBytes in interface BatchPredictionJobOrBuilder
      Returns:
      The bytes for modelVersionId.
    • setModelVersionId

      public BatchPredictionJob.Builder setModelVersionId(String value)
       Output only. The version ID of the Model that produces the predictions via
       this job.
       
      string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The modelVersionId to set.
      Returns:
      This builder for chaining.
    • clearModelVersionId

      public BatchPredictionJob.Builder clearModelVersionId()
       Output only. The version ID of the Model that produces the predictions via
       this job.
       
      string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.
    • setModelVersionIdBytes

      public BatchPredictionJob.Builder setModelVersionIdBytes(com.google.protobuf.ByteString value)
       Output only. The version ID of the Model that produces the predictions via
       this job.
       
      string model_version_id = 30 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The bytes for modelVersionId to set.
      Returns:
      This builder for chaining.
    • hasUnmanagedContainerModel

      public boolean hasUnmanagedContainerModel()
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
      Specified by:
      hasUnmanagedContainerModel in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the unmanagedContainerModel field is set.
    • getUnmanagedContainerModel

      public UnmanagedContainerModel getUnmanagedContainerModel()
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
      Specified by:
      getUnmanagedContainerModel in interface BatchPredictionJobOrBuilder
      Returns:
      The unmanagedContainerModel.
    • setUnmanagedContainerModel

      public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel value)
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
    • setUnmanagedContainerModel

      public BatchPredictionJob.Builder setUnmanagedContainerModel(UnmanagedContainerModel.Builder builderForValue)
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
    • mergeUnmanagedContainerModel

      public BatchPredictionJob.Builder mergeUnmanagedContainerModel(UnmanagedContainerModel value)
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
    • clearUnmanagedContainerModel

      public BatchPredictionJob.Builder clearUnmanagedContainerModel()
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
    • getUnmanagedContainerModelBuilder

      public UnmanagedContainerModel.Builder getUnmanagedContainerModelBuilder()
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
    • getUnmanagedContainerModelOrBuilder

      public UnmanagedContainerModelOrBuilder getUnmanagedContainerModelOrBuilder()
       Contains model information necessary to perform batch prediction without
       requiring uploading to model registry.
       Exactly one of model and unmanaged_container_model must be set.
       
      .google.cloud.aiplatform.v1.UnmanagedContainerModel unmanaged_container_model = 28;
      Specified by:
      getUnmanagedContainerModelOrBuilder in interface BatchPredictionJobOrBuilder
    • hasInputConfig

      public boolean hasInputConfig()
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasInputConfig in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the inputConfig field is set.
    • getInputConfig

      public BatchPredictionJob.InputConfig getInputConfig()
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInputConfig in interface BatchPredictionJobOrBuilder
      Returns:
      The inputConfig.
    • setInputConfig

       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
    • setInputConfig

      public BatchPredictionJob.Builder setInputConfig(BatchPredictionJob.InputConfig.Builder builderForValue)
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
    • mergeInputConfig

       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
    • clearInputConfig

      public BatchPredictionJob.Builder clearInputConfig()
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
    • getInputConfigBuilder

      public BatchPredictionJob.InputConfig.Builder getInputConfigBuilder()
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
    • getInputConfigOrBuilder

      public BatchPredictionJob.InputConfigOrBuilder getInputConfigOrBuilder()
       Required. Input configuration of the instances on which predictions are
       performed. The schema of any single instance may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getInputConfigOrBuilder in interface BatchPredictionJobOrBuilder
    • hasInstanceConfig

      public boolean hasInstanceConfig()
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
      Specified by:
      hasInstanceConfig in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the instanceConfig field is set.
    • getInstanceConfig

      public BatchPredictionJob.InstanceConfig getInstanceConfig()
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
      Specified by:
      getInstanceConfig in interface BatchPredictionJobOrBuilder
      Returns:
      The instanceConfig.
    • setInstanceConfig

       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
    • setInstanceConfig

      public BatchPredictionJob.Builder setInstanceConfig(BatchPredictionJob.InstanceConfig.Builder builderForValue)
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
    • mergeInstanceConfig

       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
    • clearInstanceConfig

      public BatchPredictionJob.Builder clearInstanceConfig()
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
    • getInstanceConfigBuilder

      public BatchPredictionJob.InstanceConfig.Builder getInstanceConfigBuilder()
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
    • getInstanceConfigOrBuilder

      public BatchPredictionJob.InstanceConfigOrBuilder getInstanceConfigOrBuilder()
       Configuration for how to convert batch prediction input instances to the
       prediction instances that are sent to the Model.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.InstanceConfig instance_config = 27;
      Specified by:
      getInstanceConfigOrBuilder in interface BatchPredictionJobOrBuilder
    • hasModelParameters

      public boolean hasModelParameters()
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
      Specified by:
      hasModelParameters in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the modelParameters field is set.
    • getModelParameters

      public com.google.protobuf.Value getModelParameters()
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
      Specified by:
      getModelParameters in interface BatchPredictionJobOrBuilder
      Returns:
      The modelParameters.
    • setModelParameters

      public BatchPredictionJob.Builder setModelParameters(com.google.protobuf.Value value)
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
    • setModelParameters

      public BatchPredictionJob.Builder setModelParameters(com.google.protobuf.Value.Builder builderForValue)
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
    • mergeModelParameters

      public BatchPredictionJob.Builder mergeModelParameters(com.google.protobuf.Value value)
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
    • clearModelParameters

      public BatchPredictionJob.Builder clearModelParameters()
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
    • getModelParametersBuilder

      public com.google.protobuf.Value.Builder getModelParametersBuilder()
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
    • getModelParametersOrBuilder

      public com.google.protobuf.ValueOrBuilder getModelParametersOrBuilder()
       The parameters that govern the predictions. The schema of the parameters
       may be specified via the
       [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
       
      .google.protobuf.Value model_parameters = 5;
      Specified by:
      getModelParametersOrBuilder in interface BatchPredictionJobOrBuilder
    • hasOutputConfig

      public boolean hasOutputConfig()
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      hasOutputConfig in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the outputConfig field is set.
    • getOutputConfig

      public BatchPredictionJob.OutputConfig getOutputConfig()
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getOutputConfig in interface BatchPredictionJobOrBuilder
      Returns:
      The outputConfig.
    • setOutputConfig

       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
    • setOutputConfig

      public BatchPredictionJob.Builder setOutputConfig(BatchPredictionJob.OutputConfig.Builder builderForValue)
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
    • mergeOutputConfig

       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
    • clearOutputConfig

      public BatchPredictionJob.Builder clearOutputConfig()
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
    • getOutputConfigBuilder

      public BatchPredictionJob.OutputConfig.Builder getOutputConfigBuilder()
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
    • getOutputConfigOrBuilder

      public BatchPredictionJob.OutputConfigOrBuilder getOutputConfigOrBuilder()
       Required. The Configuration specifying where output predictions should
       be written.
       The schema of any single prediction may be specified as a concatenation
       of [Model's][google.cloud.aiplatform.v1.BatchPredictionJob.model]
       [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
       [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
       and
       [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getOutputConfigOrBuilder in interface BatchPredictionJobOrBuilder
    • hasDedicatedResources

      public boolean hasDedicatedResources()
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
      Specified by:
      hasDedicatedResources in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the dedicatedResources field is set.
    • getDedicatedResources

      public BatchDedicatedResources getDedicatedResources()
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
      Specified by:
      getDedicatedResources in interface BatchPredictionJobOrBuilder
      Returns:
      The dedicatedResources.
    • setDedicatedResources

      public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources value)
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
    • setDedicatedResources

      public BatchPredictionJob.Builder setDedicatedResources(BatchDedicatedResources.Builder builderForValue)
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
    • mergeDedicatedResources

      public BatchPredictionJob.Builder mergeDedicatedResources(BatchDedicatedResources value)
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
    • clearDedicatedResources

      public BatchPredictionJob.Builder clearDedicatedResources()
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
    • getDedicatedResourcesBuilder

      public BatchDedicatedResources.Builder getDedicatedResourcesBuilder()
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
    • getDedicatedResourcesOrBuilder

      public BatchDedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()
       The config of resources used by the Model during the batch prediction. If
       the Model
       [supports][google.cloud.aiplatform.v1.Model.supported_deployment_resources_types]
       DEDICATED_RESOURCES this config may be provided (and the job will use these
       resources), if the Model doesn't support AUTOMATIC_RESOURCES, this config
       must be provided.
       
      .google.cloud.aiplatform.v1.BatchDedicatedResources dedicated_resources = 7;
      Specified by:
      getDedicatedResourcesOrBuilder in interface BatchPredictionJobOrBuilder
    • getServiceAccount

      public String getServiceAccount()
       The service account that the DeployedModel's container runs as. If not
       specified, a system generated one will be used, which
       has minimal permissions and the custom container, if used, may not have
       enough permission to access other Google Cloud resources.
      
       Users deploying the Model must have the `iam.serviceAccounts.actAs`
       permission on this service account.
       
      string service_account = 29;
      Specified by:
      getServiceAccount in interface BatchPredictionJobOrBuilder
      Returns:
      The serviceAccount.
    • getServiceAccountBytes

      public com.google.protobuf.ByteString getServiceAccountBytes()
       The service account that the DeployedModel's container runs as. If not
       specified, a system generated one will be used, which
       has minimal permissions and the custom container, if used, may not have
       enough permission to access other Google Cloud resources.
      
       Users deploying the Model must have the `iam.serviceAccounts.actAs`
       permission on this service account.
       
      string service_account = 29;
      Specified by:
      getServiceAccountBytes in interface BatchPredictionJobOrBuilder
      Returns:
      The bytes for serviceAccount.
    • setServiceAccount

      public BatchPredictionJob.Builder setServiceAccount(String value)
       The service account that the DeployedModel's container runs as. If not
       specified, a system generated one will be used, which
       has minimal permissions and the custom container, if used, may not have
       enough permission to access other Google Cloud resources.
      
       Users deploying the Model must have the `iam.serviceAccounts.actAs`
       permission on this service account.
       
      string service_account = 29;
      Parameters:
      value - The serviceAccount to set.
      Returns:
      This builder for chaining.
    • clearServiceAccount

      public BatchPredictionJob.Builder clearServiceAccount()
       The service account that the DeployedModel's container runs as. If not
       specified, a system generated one will be used, which
       has minimal permissions and the custom container, if used, may not have
       enough permission to access other Google Cloud resources.
      
       Users deploying the Model must have the `iam.serviceAccounts.actAs`
       permission on this service account.
       
      string service_account = 29;
      Returns:
      This builder for chaining.
    • setServiceAccountBytes

      public BatchPredictionJob.Builder setServiceAccountBytes(com.google.protobuf.ByteString value)
       The service account that the DeployedModel's container runs as. If not
       specified, a system generated one will be used, which
       has minimal permissions and the custom container, if used, may not have
       enough permission to access other Google Cloud resources.
      
       Users deploying the Model must have the `iam.serviceAccounts.actAs`
       permission on this service account.
       
      string service_account = 29;
      Parameters:
      value - The bytes for serviceAccount to set.
      Returns:
      This builder for chaining.
    • hasManualBatchTuningParameters

      public boolean hasManualBatchTuningParameters()
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
      Specified by:
      hasManualBatchTuningParameters in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the manualBatchTuningParameters field is set.
    • getManualBatchTuningParameters

      public ManualBatchTuningParameters getManualBatchTuningParameters()
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
      Specified by:
      getManualBatchTuningParameters in interface BatchPredictionJobOrBuilder
      Returns:
      The manualBatchTuningParameters.
    • setManualBatchTuningParameters

      public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters value)
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
    • setManualBatchTuningParameters

      public BatchPredictionJob.Builder setManualBatchTuningParameters(ManualBatchTuningParameters.Builder builderForValue)
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
    • mergeManualBatchTuningParameters

      public BatchPredictionJob.Builder mergeManualBatchTuningParameters(ManualBatchTuningParameters value)
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
    • clearManualBatchTuningParameters

      public BatchPredictionJob.Builder clearManualBatchTuningParameters()
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
    • getManualBatchTuningParametersBuilder

      public ManualBatchTuningParameters.Builder getManualBatchTuningParametersBuilder()
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
    • getManualBatchTuningParametersOrBuilder

      public ManualBatchTuningParametersOrBuilder getManualBatchTuningParametersOrBuilder()
       Immutable. Parameters configuring the batch behavior. Currently only
       applicable when
       [dedicated_resources][google.cloud.aiplatform.v1.BatchPredictionJob.dedicated_resources]
       are used (in other cases Vertex AI does the tuning itself).
       
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
      Specified by:
      getManualBatchTuningParametersOrBuilder in interface BatchPredictionJobOrBuilder
    • getGenerateExplanation

      public boolean getGenerateExplanation()
       Generate explanation with the batch prediction results.
      
       When set to `true`, the batch prediction output changes based on the
       `predictions_format` field of the
       [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
       object:
      
       * `bigquery`: output includes a column named `explanation`. The value
       is a struct that conforms to the
       [Explanation][google.cloud.aiplatform.v1.Explanation] object.
       * `jsonl`: The JSON objects on each line include an additional entry
       keyed `explanation`. The value of the entry is a JSON object that
       conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
       object.
       * `csv`: Generating explanations for CSV format is not supported.
      
       If this field is set to true, either the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       or
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       must be populated.
       
      bool generate_explanation = 23;
      Specified by:
      getGenerateExplanation in interface BatchPredictionJobOrBuilder
      Returns:
      The generateExplanation.
    • setGenerateExplanation

      public BatchPredictionJob.Builder setGenerateExplanation(boolean value)
       Generate explanation with the batch prediction results.
      
       When set to `true`, the batch prediction output changes based on the
       `predictions_format` field of the
       [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
       object:
      
       * `bigquery`: output includes a column named `explanation`. The value
       is a struct that conforms to the
       [Explanation][google.cloud.aiplatform.v1.Explanation] object.
       * `jsonl`: The JSON objects on each line include an additional entry
       keyed `explanation`. The value of the entry is a JSON object that
       conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
       object.
       * `csv`: Generating explanations for CSV format is not supported.
      
       If this field is set to true, either the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       or
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       must be populated.
       
      bool generate_explanation = 23;
      Parameters:
      value - The generateExplanation to set.
      Returns:
      This builder for chaining.
    • clearGenerateExplanation

      public BatchPredictionJob.Builder clearGenerateExplanation()
       Generate explanation with the batch prediction results.
      
       When set to `true`, the batch prediction output changes based on the
       `predictions_format` field of the
       [BatchPredictionJob.output_config][google.cloud.aiplatform.v1.BatchPredictionJob.output_config]
       object:
      
       * `bigquery`: output includes a column named `explanation`. The value
       is a struct that conforms to the
       [Explanation][google.cloud.aiplatform.v1.Explanation] object.
       * `jsonl`: The JSON objects on each line include an additional entry
       keyed `explanation`. The value of the entry is a JSON object that
       conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
       object.
       * `csv`: Generating explanations for CSV format is not supported.
      
       If this field is set to true, either the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       or
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       must be populated.
       
      bool generate_explanation = 23;
      Returns:
      This builder for chaining.
    • hasExplanationSpec

      public boolean hasExplanationSpec()
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
      Specified by:
      hasExplanationSpec in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the explanationSpec field is set.
    • getExplanationSpec

      public ExplanationSpec getExplanationSpec()
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
      Specified by:
      getExplanationSpec in interface BatchPredictionJobOrBuilder
      Returns:
      The explanationSpec.
    • setExplanationSpec

      public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec value)
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
    • setExplanationSpec

      public BatchPredictionJob.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
    • mergeExplanationSpec

      public BatchPredictionJob.Builder mergeExplanationSpec(ExplanationSpec value)
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
    • clearExplanationSpec

      public BatchPredictionJob.Builder clearExplanationSpec()
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
    • getExplanationSpecBuilder

      public ExplanationSpec.Builder getExplanationSpecBuilder()
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
    • getExplanationSpecOrBuilder

      public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
       Explanation configuration for this BatchPredictionJob. Can be
       specified only if
       [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
       is set to `true`.
      
       This value overrides the value of
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
       All fields of
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       are optional in the request. If a field of the
       [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
       object is not populated, the corresponding field of the
       [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
       object is inherited.
       
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
      Specified by:
      getExplanationSpecOrBuilder in interface BatchPredictionJobOrBuilder
    • hasOutputInfo

      public boolean hasOutputInfo()
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasOutputInfo in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the outputInfo field is set.
    • getOutputInfo

      public BatchPredictionJob.OutputInfo getOutputInfo()
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getOutputInfo in interface BatchPredictionJobOrBuilder
      Returns:
      The outputInfo.
    • setOutputInfo

       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setOutputInfo

      public BatchPredictionJob.Builder setOutputInfo(BatchPredictionJob.OutputInfo.Builder builderForValue)
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeOutputInfo

       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearOutputInfo

      public BatchPredictionJob.Builder clearOutputInfo()
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getOutputInfoBuilder

      public BatchPredictionJob.OutputInfo.Builder getOutputInfoBuilder()
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getOutputInfoOrBuilder

      public BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()
       Output only. Information further describing the output of this job.
       
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getOutputInfoOrBuilder in interface BatchPredictionJobOrBuilder
    • getStateValue

      public int getStateValue()
       Output only. The detailed state of the job.
       
      .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getStateValue in interface BatchPredictionJobOrBuilder
      Returns:
      The enum numeric value on the wire for state.
    • setStateValue

      public BatchPredictionJob.Builder setStateValue(int value)
       Output only. The detailed state of the job.
       
      .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The enum numeric value on the wire for state to set.
      Returns:
      This builder for chaining.
    • getState

      public JobState getState()
       Output only. The detailed state of the job.
       
      .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getState in interface BatchPredictionJobOrBuilder
      Returns:
      The state.
    • setState

      public BatchPredictionJob.Builder setState(JobState value)
       Output only. The detailed state of the job.
       
      .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The state to set.
      Returns:
      This builder for chaining.
    • clearState

      public BatchPredictionJob.Builder clearState()
       Output only. The detailed state of the job.
       
      .google.cloud.aiplatform.v1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.
    • hasError

      public boolean hasError()
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasError in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the error field is set.
    • getError

      public Status getError()
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getError in interface BatchPredictionJobOrBuilder
      Returns:
      The error.
    • setError

      public BatchPredictionJob.Builder setError(Status value)
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setError

      public BatchPredictionJob.Builder setError(Status.Builder builderForValue)
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeError

      public BatchPredictionJob.Builder mergeError(Status value)
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearError

      public BatchPredictionJob.Builder clearError()
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getErrorBuilder

      public Status.Builder getErrorBuilder()
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getErrorOrBuilder

      public StatusOrBuilder getErrorOrBuilder()
       Output only. Only populated when the job's state is JOB_STATE_FAILED or
       JOB_STATE_CANCELLED.
       
      .google.rpc.Status error = 11 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getErrorOrBuilder in interface BatchPredictionJobOrBuilder
    • getPartialFailuresList

      public List<Status> getPartialFailuresList()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPartialFailuresList in interface BatchPredictionJobOrBuilder
    • getPartialFailuresCount

      public int getPartialFailuresCount()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPartialFailuresCount in interface BatchPredictionJobOrBuilder
    • getPartialFailures

      public Status getPartialFailures(int index)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPartialFailures in interface BatchPredictionJobOrBuilder
    • setPartialFailures

      public BatchPredictionJob.Builder setPartialFailures(int index, Status value)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setPartialFailures

      public BatchPredictionJob.Builder setPartialFailures(int index, Status.Builder builderForValue)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addPartialFailures

      public BatchPredictionJob.Builder addPartialFailures(Status value)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addPartialFailures

      public BatchPredictionJob.Builder addPartialFailures(int index, Status value)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addPartialFailures

      public BatchPredictionJob.Builder addPartialFailures(Status.Builder builderForValue)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addPartialFailures

      public BatchPredictionJob.Builder addPartialFailures(int index, Status.Builder builderForValue)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addAllPartialFailures

      public BatchPredictionJob.Builder addAllPartialFailures(Iterable<? extends Status> values)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearPartialFailures

      public BatchPredictionJob.Builder clearPartialFailures()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • removePartialFailures

      public BatchPredictionJob.Builder removePartialFailures(int index)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getPartialFailuresBuilder

      public Status.Builder getPartialFailuresBuilder(int index)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getPartialFailuresOrBuilder

      public StatusOrBuilder getPartialFailuresOrBuilder(int index)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPartialFailuresOrBuilder in interface BatchPredictionJobOrBuilder
    • getPartialFailuresOrBuilderList

      public List<? extends StatusOrBuilder> getPartialFailuresOrBuilderList()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getPartialFailuresOrBuilderList in interface BatchPredictionJobOrBuilder
    • addPartialFailuresBuilder

      public Status.Builder addPartialFailuresBuilder()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • addPartialFailuresBuilder

      public Status.Builder addPartialFailuresBuilder(int index)
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getPartialFailuresBuilderList

      public List<Status.Builder> getPartialFailuresBuilderList()
       Output only. Partial failures encountered.
       For example, single files that can't be read.
       This field never exceeds 20 entries.
       Status details fields contain standard Google Cloud error details.
       
      repeated .google.rpc.Status partial_failures = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • hasResourcesConsumed

      public boolean hasResourcesConsumed()
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasResourcesConsumed in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the resourcesConsumed field is set.
    • getResourcesConsumed

      public ResourcesConsumed getResourcesConsumed()
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getResourcesConsumed in interface BatchPredictionJobOrBuilder
      Returns:
      The resourcesConsumed.
    • setResourcesConsumed

      public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed value)
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setResourcesConsumed

      public BatchPredictionJob.Builder setResourcesConsumed(ResourcesConsumed.Builder builderForValue)
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeResourcesConsumed

      public BatchPredictionJob.Builder mergeResourcesConsumed(ResourcesConsumed value)
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearResourcesConsumed

      public BatchPredictionJob.Builder clearResourcesConsumed()
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getResourcesConsumedBuilder

      public ResourcesConsumed.Builder getResourcesConsumedBuilder()
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getResourcesConsumedOrBuilder

      public ResourcesConsumedOrBuilder getResourcesConsumedOrBuilder()
       Output only. Information about resources that had been consumed by this
       job. Provided in real time at best effort basis, as well as a final value
       once the job completes.
      
       Note: This field currently may be not populated for batch predictions that
       use AutoML Models.
       
      .google.cloud.aiplatform.v1.ResourcesConsumed resources_consumed = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getResourcesConsumedOrBuilder in interface BatchPredictionJobOrBuilder
    • hasCompletionStats

      public boolean hasCompletionStats()
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasCompletionStats in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the completionStats field is set.
    • getCompletionStats

      public CompletionStats getCompletionStats()
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCompletionStats in interface BatchPredictionJobOrBuilder
      Returns:
      The completionStats.
    • setCompletionStats

      public BatchPredictionJob.Builder setCompletionStats(CompletionStats value)
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setCompletionStats

      public BatchPredictionJob.Builder setCompletionStats(CompletionStats.Builder builderForValue)
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeCompletionStats

      public BatchPredictionJob.Builder mergeCompletionStats(CompletionStats value)
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearCompletionStats

      public BatchPredictionJob.Builder clearCompletionStats()
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getCompletionStatsBuilder

      public CompletionStats.Builder getCompletionStatsBuilder()
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getCompletionStatsOrBuilder

      public CompletionStatsOrBuilder getCompletionStatsOrBuilder()
       Output only. Statistics on completed and failed prediction instances.
       
      .google.cloud.aiplatform.v1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCompletionStatsOrBuilder in interface BatchPredictionJobOrBuilder
    • hasCreateTime

      public boolean hasCreateTime()
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasCreateTime in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the createTime field is set.
    • getCreateTime

      public com.google.protobuf.Timestamp getCreateTime()
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCreateTime in interface BatchPredictionJobOrBuilder
      Returns:
      The createTime.
    • setCreateTime

      public BatchPredictionJob.Builder setCreateTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setCreateTime

      public BatchPredictionJob.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeCreateTime

      public BatchPredictionJob.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearCreateTime

      public BatchPredictionJob.Builder clearCreateTime()
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getCreateTimeBuilder

      public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getCreateTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
       Output only. Time when the BatchPredictionJob was created.
       
      .google.protobuf.Timestamp create_time = 15 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getCreateTimeOrBuilder in interface BatchPredictionJobOrBuilder
    • hasStartTime

      public boolean hasStartTime()
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasStartTime in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the startTime field is set.
    • getStartTime

      public com.google.protobuf.Timestamp getStartTime()
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getStartTime in interface BatchPredictionJobOrBuilder
      Returns:
      The startTime.
    • setStartTime

      public BatchPredictionJob.Builder setStartTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setStartTime

      public BatchPredictionJob.Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeStartTime

      public BatchPredictionJob.Builder mergeStartTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearStartTime

      public BatchPredictionJob.Builder clearStartTime()
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getStartTimeBuilder

      public com.google.protobuf.Timestamp.Builder getStartTimeBuilder()
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getStartTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder()
       Output only. Time when the BatchPredictionJob for the first time entered
       the `JOB_STATE_RUNNING` state.
       
      .google.protobuf.Timestamp start_time = 16 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getStartTimeOrBuilder in interface BatchPredictionJobOrBuilder
    • hasEndTime

      public boolean hasEndTime()
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasEndTime in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the endTime field is set.
    • getEndTime

      public com.google.protobuf.Timestamp getEndTime()
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getEndTime in interface BatchPredictionJobOrBuilder
      Returns:
      The endTime.
    • setEndTime

      public BatchPredictionJob.Builder setEndTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setEndTime

      public BatchPredictionJob.Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeEndTime

      public BatchPredictionJob.Builder mergeEndTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearEndTime

      public BatchPredictionJob.Builder clearEndTime()
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getEndTimeBuilder

      public com.google.protobuf.Timestamp.Builder getEndTimeBuilder()
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getEndTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder()
       Output only. Time when the BatchPredictionJob entered any of the following
       states: `JOB_STATE_SUCCEEDED`, `JOB_STATE_FAILED`, `JOB_STATE_CANCELLED`.
       
      .google.protobuf.Timestamp end_time = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getEndTimeOrBuilder in interface BatchPredictionJobOrBuilder
    • hasUpdateTime

      public boolean hasUpdateTime()
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasUpdateTime in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the updateTime field is set.
    • getUpdateTime

      public com.google.protobuf.Timestamp getUpdateTime()
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getUpdateTime in interface BatchPredictionJobOrBuilder
      Returns:
      The updateTime.
    • setUpdateTime

      public BatchPredictionJob.Builder setUpdateTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • setUpdateTime

      public BatchPredictionJob.Builder setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue)
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • mergeUpdateTime

      public BatchPredictionJob.Builder mergeUpdateTime(com.google.protobuf.Timestamp value)
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • clearUpdateTime

      public BatchPredictionJob.Builder clearUpdateTime()
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUpdateTimeBuilder

      public com.google.protobuf.Timestamp.Builder getUpdateTimeBuilder()
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getUpdateTimeOrBuilder

      public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
       Output only. Time when the BatchPredictionJob was most recently updated.
       
      .google.protobuf.Timestamp update_time = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getUpdateTimeOrBuilder in interface BatchPredictionJobOrBuilder
    • getLabelsCount

      public int getLabelsCount()
      Description copied from interface: BatchPredictionJobOrBuilder
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
      Specified by:
      getLabelsCount in interface BatchPredictionJobOrBuilder
    • containsLabels

      public boolean containsLabels(String key)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
      Specified by:
      containsLabels in interface BatchPredictionJobOrBuilder
    • getLabels

      @Deprecated public Map<String,String> getLabels()
      Deprecated.
      Use getLabelsMap() instead.
      Specified by:
      getLabels in interface BatchPredictionJobOrBuilder
    • getLabelsMap

      public Map<String,String> getLabelsMap()
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
      Specified by:
      getLabelsMap in interface BatchPredictionJobOrBuilder
    • getLabelsOrDefault

      public String getLabelsOrDefault(String key, String defaultValue)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
      Specified by:
      getLabelsOrDefault in interface BatchPredictionJobOrBuilder
    • getLabelsOrThrow

      public String getLabelsOrThrow(String key)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
      Specified by:
      getLabelsOrThrow in interface BatchPredictionJobOrBuilder
    • clearLabels

      public BatchPredictionJob.Builder clearLabels()
    • removeLabels

      public BatchPredictionJob.Builder removeLabels(String key)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
    • getMutableLabels

      @Deprecated public Map<String,String> getMutableLabels()
      Deprecated.
      Use alternate mutation accessors instead.
    • putLabels

      public BatchPredictionJob.Builder putLabels(String key, String value)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
    • putAllLabels

      public BatchPredictionJob.Builder putAllLabels(Map<String,String> values)
       The labels with user-defined metadata to organize BatchPredictionJobs.
      
       Label keys and values can be no longer than 64 characters
       (Unicode codepoints), can only contain lowercase letters, numeric
       characters, underscores and dashes. International characters are allowed.
      
       See https://goo.gl/xmQnxf for more information and examples of labels.
       
      map<string, string> labels = 19;
    • hasEncryptionSpec

      public boolean hasEncryptionSpec()
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
      Specified by:
      hasEncryptionSpec in interface BatchPredictionJobOrBuilder
      Returns:
      Whether the encryptionSpec field is set.
    • getEncryptionSpec

      public EncryptionSpec getEncryptionSpec()
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
      Specified by:
      getEncryptionSpec in interface BatchPredictionJobOrBuilder
      Returns:
      The encryptionSpec.
    • setEncryptionSpec

      public BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec value)
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
    • setEncryptionSpec

      public BatchPredictionJob.Builder setEncryptionSpec(EncryptionSpec.Builder builderForValue)
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
    • mergeEncryptionSpec

      public BatchPredictionJob.Builder mergeEncryptionSpec(EncryptionSpec value)
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
    • clearEncryptionSpec

      public BatchPredictionJob.Builder clearEncryptionSpec()
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
    • getEncryptionSpecBuilder

      public EncryptionSpec.Builder getEncryptionSpecBuilder()
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
    • getEncryptionSpecOrBuilder

      public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
       Customer-managed encryption key options for a BatchPredictionJob. If this
       is set, then all resources created by the BatchPredictionJob will be
       encrypted with the provided encryption key.
       
      .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 24;
      Specified by:
      getEncryptionSpecOrBuilder in interface BatchPredictionJobOrBuilder
    • getDisableContainerLogging

      public boolean getDisableContainerLogging()
       For custom-trained Models and AutoML Tabular Models, the container of the
       DeployedModel instances will send `stderr` and `stdout` streams to
       Cloud Logging by default. Please note that the logs incur cost,
       which are subject to [Cloud Logging
       pricing](https://cloud.google.com/logging/pricing).
      
       User can disable container logging by setting this flag to true.
       
      bool disable_container_logging = 34;
      Specified by:
      getDisableContainerLogging in interface BatchPredictionJobOrBuilder
      Returns:
      The disableContainerLogging.
    • setDisableContainerLogging

      public BatchPredictionJob.Builder setDisableContainerLogging(boolean value)
       For custom-trained Models and AutoML Tabular Models, the container of the
       DeployedModel instances will send `stderr` and `stdout` streams to
       Cloud Logging by default. Please note that the logs incur cost,
       which are subject to [Cloud Logging
       pricing](https://cloud.google.com/logging/pricing).
      
       User can disable container logging by setting this flag to true.
       
      bool disable_container_logging = 34;
      Parameters:
      value - The disableContainerLogging to set.
      Returns:
      This builder for chaining.
    • clearDisableContainerLogging

      public BatchPredictionJob.Builder clearDisableContainerLogging()
       For custom-trained Models and AutoML Tabular Models, the container of the
       DeployedModel instances will send `stderr` and `stdout` streams to
       Cloud Logging by default. Please note that the logs incur cost,
       which are subject to [Cloud Logging
       pricing](https://cloud.google.com/logging/pricing).
      
       User can disable container logging by setting this flag to true.
       
      bool disable_container_logging = 34;
      Returns:
      This builder for chaining.
    • getSatisfiesPzs

      public boolean getSatisfiesPzs()
       Output only. Reserved for future use.
       
      bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getSatisfiesPzs in interface BatchPredictionJobOrBuilder
      Returns:
      The satisfiesPzs.
    • setSatisfiesPzs

      public BatchPredictionJob.Builder setSatisfiesPzs(boolean value)
       Output only. Reserved for future use.
       
      bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The satisfiesPzs to set.
      Returns:
      This builder for chaining.
    • clearSatisfiesPzs

      public BatchPredictionJob.Builder clearSatisfiesPzs()
       Output only. Reserved for future use.
       
      bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.
    • getSatisfiesPzi

      public boolean getSatisfiesPzi()
       Output only. Reserved for future use.
       
      bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getSatisfiesPzi in interface BatchPredictionJobOrBuilder
      Returns:
      The satisfiesPzi.
    • setSatisfiesPzi

      public BatchPredictionJob.Builder setSatisfiesPzi(boolean value)
       Output only. Reserved for future use.
       
      bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The satisfiesPzi to set.
      Returns:
      This builder for chaining.
    • clearSatisfiesPzi

      public BatchPredictionJob.Builder clearSatisfiesPzi()
       Output only. Reserved for future use.
       
      bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.