BatchPredictionJob constructor

BatchPredictionJob(String name, { BatchPredictionJobArgs? args, CustomResourceOptions? options, })

Creates a new BatchPredictionJob. name The Pulumi resource name. args Arguments used to configure this BatchPredictionJob. The set of arguments for BatchPredictionJob. options Resource options controlling this resource's behavior.

Implementation

BatchPredictionJob(
  String name, {
  BatchPredictionJobArgs? args,
  pulumi.CustomResourceOptions? options,
}) : super(
        'google-native:aiplatform/v1:BatchPredictionJob',
        name,
        pulumi.Input.mapToInputs(args?.toMap() ?? const {}),
        options ?? pulumi.CustomResourceOptions(),
      ) {
  completionStats = registerOutput<GoogleCloudAiplatformV1CompletionStatsResponse>('completionStats', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1CompletionStatsResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  createTime = registerOutput<String>('createTime');
  dedicatedResources = registerOutput<GoogleCloudAiplatformV1BatchDedicatedResourcesResponse>('dedicatedResources', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1BatchDedicatedResourcesResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  disableContainerLogging = registerOutput<bool>('disableContainerLogging');
  displayName = registerOutput<String>('displayName');
  encryptionSpec = registerOutput<GoogleCloudAiplatformV1EncryptionSpecResponse>('encryptionSpec', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1EncryptionSpecResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  endTime = registerOutput<String>('endTime');
  error = registerOutput<GoogleRpcStatusResponse>('error', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleRpcStatusResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  explanationSpec = registerOutput<GoogleCloudAiplatformV1ExplanationSpecResponse>('explanationSpec', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1ExplanationSpecResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  generateExplanation = registerOutput<bool>('generateExplanation');
  inputConfig = registerOutput<GoogleCloudAiplatformV1BatchPredictionJobInputConfigResponse>('inputConfig', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1BatchPredictionJobInputConfigResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  instanceConfig = registerOutput<GoogleCloudAiplatformV1BatchPredictionJobInstanceConfigResponse>('instanceConfig', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1BatchPredictionJobInstanceConfigResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  labels = registerOutput<Map<String, String>>('labels');
  location = registerOutput<String>('location');
  manualBatchTuningParameters = registerOutput<GoogleCloudAiplatformV1ManualBatchTuningParametersResponse>('manualBatchTuningParameters', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1ManualBatchTuningParametersResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  model = registerOutput<String>('model');
  modelParameters = registerOutput<dynamic>('modelParameters');
  modelVersionId = registerOutput<String>('modelVersionId');
  this.name = registerOutput<String>('name');
  outputConfig = registerOutput<GoogleCloudAiplatformV1BatchPredictionJobOutputConfigResponse>('outputConfig', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1BatchPredictionJobOutputConfigResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  outputInfo = registerOutput<GoogleCloudAiplatformV1BatchPredictionJobOutputInfoResponse>('outputInfo', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1BatchPredictionJobOutputInfoResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  partialFailures = registerOutput<List<Map<String, dynamic>>>('partialFailures');
  project = registerOutput<String>('project');
  resourcesConsumed = registerOutput<GoogleCloudAiplatformV1ResourcesConsumedResponse>('resourcesConsumed', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1ResourcesConsumedResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  serviceAccount = registerOutput<String>('serviceAccount');
  startTime = registerOutput<String>('startTime');
  state = registerOutput<String>('state');
  unmanagedContainerModel = registerOutput<GoogleCloudAiplatformV1UnmanagedContainerModelResponse>('unmanagedContainerModel', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1UnmanagedContainerModelResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  updateTime = registerOutput<String>('updateTime');
}