HyperparameterTuningJob constructor

HyperparameterTuningJob(String name, { HyperparameterTuningJobArgs? args, CustomResourceOptions? options, })

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

Implementation

HyperparameterTuningJob(
  String name, {
  HyperparameterTuningJobArgs? args,
  pulumi.CustomResourceOptions? options,
}) : super(
        'google-native:aiplatform/v1:HyperparameterTuningJob',
        name,
        pulumi.Input.mapToInputs(args?.toMap() ?? const {}),
        options ?? pulumi.CustomResourceOptions(),
      ) {
  createTime = registerOutput<String>('createTime');
  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>()); });
  labels = registerOutput<Map<String, String>>('labels');
  location = registerOutput<String>('location');
  maxFailedTrialCount = registerOutput<int>('maxFailedTrialCount');
  maxTrialCount = registerOutput<int>('maxTrialCount');
  this.name = registerOutput<String>('name');
  parallelTrialCount = registerOutput<int>('parallelTrialCount');
  project = registerOutput<String>('project');
  startTime = registerOutput<String>('startTime');
  state = registerOutput<String>('state');
  studySpec = registerOutput<GoogleCloudAiplatformV1StudySpecResponse>('studySpec', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1StudySpecResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  trialJobSpec = registerOutput<GoogleCloudAiplatformV1CustomJobSpecResponse>('trialJobSpec', decoder: (raw) { final guardedValue = raw; if (guardedValue == null) return null; return GoogleCloudAiplatformV1CustomJobSpecResponse.fromMap((guardedValue as Map).cast<String, dynamic>()); });
  trials = registerOutput<List<Map<String, dynamic>>>('trials');
  updateTime = registerOutput<String>('updateTime');
}