DescribePredictorResponse.fromJson constructor

DescribePredictorResponse.fromJson(
  1. Map<String, dynamic> json
)

Implementation

factory DescribePredictorResponse.fromJson(Map<String, dynamic> json) {
  return DescribePredictorResponse(
    algorithmArn: json['AlgorithmArn'] as String?,
    autoMLAlgorithmArns: (json['AutoMLAlgorithmArns'] as List?)
        ?.whereNotNull()
        .map((e) => e as String)
        .toList(),
    creationTime: timeStampFromJson(json['CreationTime']),
    datasetImportJobArns: (json['DatasetImportJobArns'] as List?)
        ?.whereNotNull()
        .map((e) => e as String)
        .toList(),
    encryptionConfig: json['EncryptionConfig'] != null
        ? EncryptionConfig.fromJson(
            json['EncryptionConfig'] as Map<String, dynamic>)
        : null,
    evaluationParameters: json['EvaluationParameters'] != null
        ? EvaluationParameters.fromJson(
            json['EvaluationParameters'] as Map<String, dynamic>)
        : null,
    featurizationConfig: json['FeaturizationConfig'] != null
        ? FeaturizationConfig.fromJson(
            json['FeaturizationConfig'] as Map<String, dynamic>)
        : null,
    forecastHorizon: json['ForecastHorizon'] as int?,
    forecastTypes: (json['ForecastTypes'] as List?)
        ?.whereNotNull()
        .map((e) => e as String)
        .toList(),
    hPOConfig: json['HPOConfig'] != null
        ? HyperParameterTuningJobConfig.fromJson(
            json['HPOConfig'] as Map<String, dynamic>)
        : null,
    inputDataConfig: json['InputDataConfig'] != null
        ? InputDataConfig.fromJson(
            json['InputDataConfig'] as Map<String, dynamic>)
        : null,
    lastModificationTime: timeStampFromJson(json['LastModificationTime']),
    message: json['Message'] as String?,
    performAutoML: json['PerformAutoML'] as bool?,
    performHPO: json['PerformHPO'] as bool?,
    predictorArn: json['PredictorArn'] as String?,
    predictorExecutionDetails: json['PredictorExecutionDetails'] != null
        ? PredictorExecutionDetails.fromJson(
            json['PredictorExecutionDetails'] as Map<String, dynamic>)
        : null,
    predictorName: json['PredictorName'] as String?,
    status: json['Status'] as String?,
    trainingParameters: (json['TrainingParameters'] as Map<String, dynamic>?)
        ?.map((k, e) => MapEntry(k, e as String)),
  );
}