Package com.google.cloud.aiplatform.v1

Interface BatchPredictionJobOrBuilder

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

  • Method Details

    • 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.v1.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.v1.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.v1.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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.InputConfig input_config = 4 [(.google.api.field_behavior) = REQUIRED];

    • 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.v1.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.v1.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.v1.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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      .google.protobuf.Value model_parameters = 5;
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      .google.protobuf.Value model_parameters = 5;
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
      .google.protobuf.Value model_parameters = 5;

    • 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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];
      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.v1.BatchPredictionJob.model]
 [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata]
 [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri]
 and
 [prediction_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.prediction_schema_uri].
      .google.cloud.aiplatform.v1.BatchPredictionJob.OutputConfig output_config = 6 [(.google.api.field_behavior) = REQUIRED];

    • hasDedicatedResources

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

    • 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.v1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
      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.v1.BatchPredictionJob.dedicated_resources]
 are used (in other cases Vertex AI does the tuning itself).
      .google.cloud.aiplatform.v1.ManualBatchTuningParameters manual_batch_tuning_parameters = 8 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The manualBatchTuningParameters.

    • getManualBatchTuningParametersOrBuilder

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

    • 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.v1.BatchPredictionJob.output_config]
 object:

 * `bigquery`: output includes a column named `explanation`. The value
 is a struct that conforms to the
 [Explanation][google.cloud.aiplatform.v1.Explanation] object.
 * `jsonl`: The JSON objects on each line include an additional entry
 keyed `explanation`. The value of the entry is a JSON object that
 conforms to the [Explanation][google.cloud.aiplatform.v1.Explanation]
 object.
 * `csv`: Generating explanations for CSV format is not supported.

 If this field is set to true, either the
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 or
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 must be populated.
      bool generate_explanation = 23;
      Returns:
      The generateExplanation.

    • hasExplanationSpec

      boolean hasExplanationSpec()
       Explanation configuration for this BatchPredictionJob. Can be
 specified only if
 [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 object is inherited.
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
      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.v1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 object is inherited.
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;
      Returns:
      The explanationSpec.

    • getExplanationSpecOrBuilder

      ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
       Explanation configuration for this BatchPredictionJob. Can be
 specified only if
 [generate_explanation][google.cloud.aiplatform.v1.BatchPredictionJob.generate_explanation]
 is set to `true`.

 This value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 are optional in the request. If a field of the
 [explanation_spec][google.cloud.aiplatform.v1.BatchPredictionJob.explanation_spec]
 object is not populated, the corresponding field of the
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 object is inherited.
      .google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 25;

    • hasOutputInfo

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

    • getOutputInfo

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

    • getOutputInfoOrBuilder

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

    • getStateValue

      int getStateValue()
       Output only. The detailed state of the job.
      .google.cloud.aiplatform.v1.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.v1.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

      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

      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<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

      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 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

      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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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;

    • getLabels

      @Deprecated Map<String,String> getLabels()
      Deprecated.
      Use getLabelsMap() instead.

    • 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.v1.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.v1.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.v1.EncryptionSpec encryption_spec = 24;

    • 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.

    • getSatisfiesPzs

      boolean getSatisfiesPzs()
       Output only. Reserved for future use.
      bool satisfies_pzs = 36 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The satisfiesPzs.

    • getSatisfiesPzi

      boolean getSatisfiesPzi()
       Output only. Reserved for future use.
      bool satisfies_pzi = 37 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The satisfiesPzi.