Package com.google.cloud.aiplatform.v1beta1

Interface BatchPredictionJobOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    BatchPredictionJob, BatchPredictionJob.Builder
    public interface BatchPredictionJobOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getName

        String getName()
         Output only. Resource name of the BatchPredictionJob.
        string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The name.

      • getNameBytes

        com.google.protobuf.ByteString getNameBytes()
         Output only. Resource name of the BatchPredictionJob.
        string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The bytes for name.

      • getDisplayName

        String getDisplayName()
         Required. The user-defined name of this BatchPredictionJob.
        string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The displayName.

      • getDisplayNameBytes

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

      • getModel

        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) = { ... }
        Returns:
        The model.

      • getModelBytes

        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) = { ... }
        Returns:
        The bytes for model.

      • getModelVersionId

        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];
        Returns:
        The modelVersionId.

      • getModelVersionIdBytes

        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];
        Returns:
        The bytes for modelVersionId.

      • hasUnmanagedContainerModel

        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;
        Returns:
        Whether the unmanagedContainerModel field is set.

      • getUnmanagedContainerModel

        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;
        Returns:
        The unmanagedContainerModel.

      • getUnmanagedContainerModelOrBuilder

        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;

      • hasInputConfig

        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];
        Returns:
        Whether the inputConfig field is set.

      • getInputConfig

        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];
        Returns:
        The inputConfig.

      • getInputConfigOrBuilder

        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];

      • hasInstanceConfig

        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;
        Returns:
        Whether the instanceConfig field is set.

      • getInstanceConfig

        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;
        Returns:
        The instanceConfig.

      • getInstanceConfigOrBuilder

        BatchPredictionJob.InstanceConfigOrBuilder getInstanceConfigOrBuilder()
         Configuration for how to convert batch prediction input instances to the
 prediction instances that are sent to the Model.
        .google.cloud.aiplatform.v1beta1.BatchPredictionJob.InstanceConfig instance_config = 27;

      • hasModelParameters

        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;
        Returns:
        Whether the modelParameters field is set.

      • getModelParameters

        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;
        Returns:
        The modelParameters.

      • getModelParametersOrBuilder

        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;

      • hasOutputConfig

        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];
        Returns:
        Whether the outputConfig field is set.

      • getOutputConfig

        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];
        Returns:
        The outputConfig.

      • getOutputConfigOrBuilder

        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];

      • hasDedicatedResources

        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;
        Returns:
        Whether the dedicatedResources field is set.

      • getDedicatedResources

        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;
        Returns:
        The dedicatedResources.

      • getDedicatedResourcesOrBuilder

        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;

      • getServiceAccount

        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;
        Returns:
        The serviceAccount.

      • getServiceAccountBytes

        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;
        Returns:
        The bytes for serviceAccount.

      • hasManualBatchTuningParameters

        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];
        Returns:
        Whether the manualBatchTuningParameters field is set.

      • getManualBatchTuningParameters

        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];
        Returns:
        The manualBatchTuningParameters.

      • getManualBatchTuningParametersOrBuilder

        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];

      • getGenerateExplanation

        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;
        Returns:
        The generateExplanation.

      • hasExplanationSpec

        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;
        Returns:
        Whether the explanationSpec field is set.

      • getExplanationSpec

        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;
        Returns:
        The explanationSpec.

      • getExplanationSpecOrBuilder

        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;

      • hasOutputInfo

        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];
        Returns:
        Whether the outputInfo field is set.

      • getOutputInfo

        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];
        Returns:
        The outputInfo.

      • getOutputInfoOrBuilder

        BatchPredictionJob.OutputInfoOrBuilder getOutputInfoOrBuilder()
         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

        int getStateValue()
         Output only. The detailed state of the job.
        .google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The enum numeric value on the wire for state.

      • getState

        JobState getState()
         Output only. The detailed state of the job.
        .google.cloud.aiplatform.v1beta1.JobState state = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The state.

      • hasError

        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];
        Returns:
        Whether the error field is set.

      • getError

        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];
        Returns:
        The error.

      • getErrorOrBuilder

        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];

      • getPartialFailuresList

        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];

      • getPartialFailures

        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];

      • getPartialFailuresCount

        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];

      • getPartialFailuresOrBuilderList

        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];

      • getPartialFailuresOrBuilder

        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];

      • hasResourcesConsumed

        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];
        Returns:
        Whether the resourcesConsumed field is set.

      • getResourcesConsumed

        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];
        Returns:
        The resourcesConsumed.

      • getResourcesConsumedOrBuilder

        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];

      • hasCompletionStats

        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];
        Returns:
        Whether the completionStats field is set.

      • getCompletionStats

        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];
        Returns:
        The completionStats.

      • getCompletionStatsOrBuilder

        CompletionStatsOrBuilder getCompletionStatsOrBuilder()
         Output only. Statistics on completed and failed prediction instances.
        .google.cloud.aiplatform.v1beta1.CompletionStats completion_stats = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • hasCreateTime

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

      • getCreateTime

        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];
        Returns:
        The createTime.

      • getCreateTimeOrBuilder

        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];

      • hasStartTime

        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];
        Returns:
        Whether the startTime field is set.

      • getStartTime

        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];
        Returns:
        The startTime.

      • getStartTimeOrBuilder

        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];

      • hasEndTime

        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];
        Returns:
        Whether the endTime field is set.

      • getEndTime

        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];
        Returns:
        The endTime.

      • getEndTimeOrBuilder

        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];

      • hasUpdateTime

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

      • getUpdateTime

        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];
        Returns:
        The updateTime.

      • getUpdateTimeOrBuilder

        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];

      • getLabelsCount

        int getLabelsCount()
         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;

      • containsLabels

        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;

      • getLabelsMap

        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;

      • getLabelsOrDefault

        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;

      • getLabelsOrThrow

        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;

      • hasEncryptionSpec

        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;
        Returns:
        Whether the encryptionSpec field is set.

      • getEncryptionSpec

        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;
        Returns:
        The encryptionSpec.

      • getEncryptionSpecOrBuilder

        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;

      • hasModelMonitoringConfig

        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;
        Returns:
        Whether the modelMonitoringConfig field is set.

      • getModelMonitoringConfig

        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;
        Returns:
        The modelMonitoringConfig.

      • getModelMonitoringConfigOrBuilder

        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;

      • getModelMonitoringStatsAnomaliesList

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

      • getModelMonitoringStatsAnomalies

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

      • getModelMonitoringStatsAnomaliesCount

        int getModelMonitoringStatsAnomaliesCount()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • getModelMonitoringStatsAnomaliesOrBuilderList

        List<? extends ModelMonitoringStatsAnomaliesOrBuilder> getModelMonitoringStatsAnomaliesOrBuilderList()
         Get batch prediction job monitoring statistics.
        repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringStatsAnomalies model_monitoring_stats_anomalies = 31;

      • getModelMonitoringStatsAnomaliesOrBuilder

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

      • hasModelMonitoringStatus

        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];
        Returns:
        Whether the modelMonitoringStatus field is set.

      • getModelMonitoringStatus

        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];
        Returns:
        The modelMonitoringStatus.

      • getModelMonitoringStatusOrBuilder

        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];

      • getDisableContainerLogging

        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;
        Returns:
        The disableContainerLogging.