GoogleCloudAiplatformV1TrainingPipeline.fromJson constructor

GoogleCloudAiplatformV1TrainingPipeline.fromJson(
  1. Map json_
)

Implementation

GoogleCloudAiplatformV1TrainingPipeline.fromJson(core.Map json_)
  : this(
      createTime: json_['createTime'] as core.String?,
      displayName: json_['displayName'] as core.String?,
      encryptionSpec:
          json_.containsKey('encryptionSpec')
              ? GoogleCloudAiplatformV1EncryptionSpec.fromJson(
                json_['encryptionSpec']
                    as core.Map<core.String, core.dynamic>,
              )
              : null,
      endTime: json_['endTime'] as core.String?,
      error:
          json_.containsKey('error')
              ? GoogleRpcStatus.fromJson(
                json_['error'] as core.Map<core.String, core.dynamic>,
              )
              : null,
      inputDataConfig:
          json_.containsKey('inputDataConfig')
              ? GoogleCloudAiplatformV1InputDataConfig.fromJson(
                json_['inputDataConfig']
                    as core.Map<core.String, core.dynamic>,
              )
              : null,
      labels: (json_['labels'] as core.Map<core.String, core.dynamic>?)?.map(
        (key, value) => core.MapEntry(key, value as core.String),
      ),
      modelId: json_['modelId'] as core.String?,
      modelToUpload:
          json_.containsKey('modelToUpload')
              ? GoogleCloudAiplatformV1Model.fromJson(
                json_['modelToUpload'] as core.Map<core.String, core.dynamic>,
              )
              : null,
      name: json_['name'] as core.String?,
      parentModel: json_['parentModel'] as core.String?,
      startTime: json_['startTime'] as core.String?,
      state: json_['state'] as core.String?,
      trainingTaskDefinition: json_['trainingTaskDefinition'] as core.String?,
      trainingTaskInputs: json_['trainingTaskInputs'],
      trainingTaskMetadata: json_['trainingTaskMetadata'],
      updateTime: json_['updateTime'] as core.String?,
    );