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?,
      );