Package com.google.cloud.aiplatform.v1beta1

Class 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.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>
implements BatchPredictionJobOrBuilder
     A job that uses a
 [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce
 predictions on multiple [input
 instances][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob

    • Method Detail

      • getDescriptor

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

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • internalGetMutableMapField

        protected com.google.protobuf.MapField internalGetMutableMapField​(int number)
        Overrides:
        internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • clear

        public 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.GeneratedMessageV3.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.GeneratedMessageV3.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

      • clone

        public BatchPredictionJob.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • setField

        public BatchPredictionJob.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                           Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • clearField

        public BatchPredictionJob.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • clearOneof

        public BatchPredictionJob.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • setRepeatedField

        public BatchPredictionJob.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                   int index,
                                                   Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • addRepeatedField

        public BatchPredictionJob.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                   Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.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>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getInputConfig in interface BatchPredictionJobOrBuilder
        Returns:
        The inputConfig.

      • setInputConfig

        public BatchPredictionJob.Builder setInputConfig​(BatchPredictionJob.InputConfig value)
         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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

      • mergeInputConfig

        public BatchPredictionJob.Builder mergeInputConfig​(BatchPredictionJob.InputConfig value)
         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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;
        Specified by:
        getInstanceConfig in interface BatchPredictionJobOrBuilder
        Returns:
        The instanceConfig.

      • setInstanceConfig

        public BatchPredictionJob.Builder setInstanceConfig​(BatchPredictionJob.InstanceConfig value)
         Configuration for how to convert batch prediction input instances to the
 prediction instances that are sent to the Model.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

      • mergeInstanceConfig

        public BatchPredictionJob.Builder mergeInstanceConfig​(BatchPredictionJob.InstanceConfig value)
         Configuration for how to convert batch prediction input instances to the
 prediction instances that are sent to the Model.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

      • 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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getOutputConfig in interface BatchPredictionJobOrBuilder
        Returns:
        The outputConfig.

      • setOutputConfig

        public BatchPredictionJob.Builder setOutputConfig​(BatchPredictionJob.OutputConfig value)
         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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

      • mergeOutputConfig

        public BatchPredictionJob.Builder mergeOutputConfig​(BatchPredictionJob.OutputConfig value)
         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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.prediction_schema_uri].
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.output_config]
 object:

  * `bigquery`: output includes a column named `explanation`. The value
    is a struct that conforms to the
    [Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
 or
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.output_config]
 object:

  * `bigquery`: output includes a column named `explanation`. The value
    is a struct that conforms to the
    [Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
 or
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.output_config]
 object:

  * `bigquery`: output includes a column named `explanation`. The value
    is a struct that conforms to the
    [Explanation][google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.Model.explanation_spec]
 or
 [explanation_spec][google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

      • clearExplanationSpec

        public BatchPredictionJob.Builder clearExplanationSpec()
         Explanation configuration for this BatchPredictionJob. Can be
 specified only if
 [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

      • getExplanationSpecBuilder

        public ExplanationSpec.Builder getExplanationSpecBuilder()
         Explanation configuration for this BatchPredictionJob. Can be
 specified only if
 [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 25;

      • getExplanationSpecOrBuilder

        public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
         Explanation configuration for this BatchPredictionJob. Can be
 specified only if
 [generate_explanation][google.cloud.aiplatform.v1beta1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1beta1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1beta1.Model.explanation_spec]
 object is inherited.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getOutputInfo in interface BatchPredictionJobOrBuilder
        Returns:
        The outputInfo.

      • setOutputInfo

        public BatchPredictionJob.Builder setOutputInfo​(BatchPredictionJob.OutputInfo value)
         Output only. Information further describing the output of this job.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • mergeOutputInfo

        public BatchPredictionJob.Builder mergeOutputInfo​(BatchPredictionJob.OutputInfo value)
         Output only. Information further describing the output of this job.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.BatchPredictionJob.OutputInfo output_info = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getStateValue

        public int getStateValue()
         Output only. The detailed state of the job.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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 com.google.rpc.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​(com.google.rpc.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​(com.google.rpc.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​(com.google.rpc.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 com.google.rpc.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 com.google.rpc.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<com.google.rpc.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 com.google.rpc.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,
                                                     com.google.rpc.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,
                                                     com.google.rpc.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​(com.google.rpc.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,
                                                     com.google.rpc.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​(com.google.rpc.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,
                                                     com.google.rpc.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 com.google.rpc.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 com.google.rpc.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 com.google.rpc.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 com.google.rpc.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 com.google.rpc.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 com.google.rpc.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<com.google.rpc.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • 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

      • 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

      • 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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.EncryptionSpec encryption_spec = 24;
        Specified by:
        getEncryptionSpecOrBuilder in interface BatchPredictionJobOrBuilder

      • hasModelMonitoringConfig

        public boolean hasModelMonitoringConfig()
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
        Specified by:
        hasModelMonitoringConfig in interface BatchPredictionJobOrBuilder
        Returns:
        Whether the modelMonitoringConfig field is set.

      • getModelMonitoringConfig

        public ModelMonitoringConfig getModelMonitoringConfig()
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
        Specified by:
        getModelMonitoringConfig in interface BatchPredictionJobOrBuilder
        Returns:
        The modelMonitoringConfig.

      • setModelMonitoringConfig

        public BatchPredictionJob.Builder setModelMonitoringConfig​(ModelMonitoringConfig value)
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

      • setModelMonitoringConfig

        public BatchPredictionJob.Builder setModelMonitoringConfig​(ModelMonitoringConfig.Builder builderForValue)
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

      • mergeModelMonitoringConfig

        public BatchPredictionJob.Builder mergeModelMonitoringConfig​(ModelMonitoringConfig value)
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

      • clearModelMonitoringConfig

        public BatchPredictionJob.Builder clearModelMonitoringConfig()
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

      • getModelMonitoringConfigBuilder

        public ModelMonitoringConfig.Builder getModelMonitoringConfigBuilder()
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;

      • getModelMonitoringConfigOrBuilder

        public ModelMonitoringConfigOrBuilder getModelMonitoringConfigOrBuilder()
         Model monitoring config will be used for analysis model behaviors, based on
 the input and output to the batch prediction job, as well as the provided
 training dataset.
        .google.cloud.aiplatform.v1beta1.ModelMonitoringConfig model_monitoring_config = 26;
        Specified by:
        getModelMonitoringConfigOrBuilder in interface BatchPredictionJobOrBuilder

      • getModelMonitoringStatsAnomaliesCount

        public int getModelMonitoringStatsAnomaliesCount()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;
        Specified by:
        getModelMonitoringStatsAnomaliesCount in interface BatchPredictionJobOrBuilder

      • setModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder setModelMonitoringStatsAnomalies​(int index,
                                                                   ModelMonitoringStatsAnomalies value)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • setModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder setModelMonitoringStatsAnomalies​(int index,
                                                                   ModelMonitoringStatsAnomalies.Builder builderForValue)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies​(ModelMonitoringStatsAnomalies value)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies​(int index,
                                                                   ModelMonitoringStatsAnomalies value)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies​(ModelMonitoringStatsAnomalies.Builder builderForValue)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder addModelMonitoringStatsAnomalies​(int index,
                                                                   ModelMonitoringStatsAnomalies.Builder builderForValue)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addAllModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder addAllModelMonitoringStatsAnomalies​(Iterable<? extends ModelMonitoringStatsAnomalies> values)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • clearModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder clearModelMonitoringStatsAnomalies()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • removeModelMonitoringStatsAnomalies

        public BatchPredictionJob.Builder removeModelMonitoringStatsAnomalies​(int index)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • getModelMonitoringStatsAnomaliesBuilder

        public ModelMonitoringStatsAnomalies.Builder getModelMonitoringStatsAnomaliesBuilder​(int index)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomaliesBuilder

        public ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • addModelMonitoringStatsAnomaliesBuilder

        public ModelMonitoringStatsAnomalies.Builder addModelMonitoringStatsAnomaliesBuilder​(int index)
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • getModelMonitoringStatsAnomaliesBuilderList

        public List<ModelMonitoringStatsAnomalies.Builder> getModelMonitoringStatsAnomaliesBuilderList()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • hasModelMonitoringStatus

        public boolean hasModelMonitoringStatus()
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasModelMonitoringStatus in interface BatchPredictionJobOrBuilder
        Returns:
        Whether the modelMonitoringStatus field is set.

      • getModelMonitoringStatus

        public com.google.rpc.Status getModelMonitoringStatus()
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getModelMonitoringStatus in interface BatchPredictionJobOrBuilder
        Returns:
        The modelMonitoringStatus.

      • setModelMonitoringStatus

        public BatchPredictionJob.Builder setModelMonitoringStatus​(com.google.rpc.Status value)
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • setModelMonitoringStatus

        public BatchPredictionJob.Builder setModelMonitoringStatus​(com.google.rpc.Status.Builder builderForValue)
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • mergeModelMonitoringStatus

        public BatchPredictionJob.Builder mergeModelMonitoringStatus​(com.google.rpc.Status value)
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • clearModelMonitoringStatus

        public BatchPredictionJob.Builder clearModelMonitoringStatus()
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getModelMonitoringStatusBuilder

        public com.google.rpc.Status.Builder getModelMonitoringStatusBuilder()
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getModelMonitoringStatusOrBuilder

        public com.google.rpc.StatusOrBuilder getModelMonitoringStatusOrBuilder()
         Output only. The running status of the model monitoring pipeline.
        .google.rpc.Status model_monitoring_status = 32 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getModelMonitoringStatusOrBuilder 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.

      • setUnknownFields

        public final BatchPredictionJob.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>

      • mergeUnknownFields

        public final BatchPredictionJob.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<BatchPredictionJob.Builder>