internal Forecasting(LogVerbosity?logVerbosity, TaskType taskType, IList <ForecastingModels> allowedModels, IList <ForecastingModels> blockedModels, ForecastingSettings forecastingSettings, ForecastingPrimaryMetrics?primaryMetric, TableVerticalDataSettings dataSettings, TableVerticalFeaturizationSettings featurizationSettings, TableVerticalLimitSettings limitSettings, TrainingSettings trainingSettings) : base(logVerbosity, taskType)
{
AllowedModels = allowedModels;
BlockedModels = blockedModels;
ForecastingSettings = forecastingSettings;
PrimaryMetric = primaryMetric;
DataSettings = dataSettings;
FeaturizationSettings = featurizationSettings;
LimitSettings = limitSettings;
TrainingSettings = trainingSettings;
TaskType = taskType;
}
internal static Forecasting DeserializeForecasting(JsonElement element)
{
Optional <IList <ForecastingModels> > allowedModels = default;
Optional <IList <ForecastingModels> > blockedModels = default;
Optional <ForecastingSettings> forecastingSettings = default;
Optional <ForecastingPrimaryMetrics> primaryMetric = default;
Optional <TableVerticalDataSettings> dataSettings = default;
Optional <TableVerticalFeaturizationSettings> featurizationSettings = default;
Optional <TableVerticalLimitSettings> limitSettings = default;
Optional <TrainingSettings> trainingSettings = default;
Optional <LogVerbosity> logVerbosity = default;
TaskType taskType = default;
foreach (var property in element.EnumerateObject())
{
if (property.NameEquals("allowedModels"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
allowedModels = null;
continue;
}
List <ForecastingModels> array = new List <ForecastingModels>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(new ForecastingModels(item.GetString()));
}
allowedModels = array;
continue;
}
if (property.NameEquals("blockedModels"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
blockedModels = null;
continue;
}
List <ForecastingModels> array = new List <ForecastingModels>();
foreach (var item in property.Value.EnumerateArray())
{
array.Add(new ForecastingModels(item.GetString()));
}
blockedModels = array;
continue;
}
if (property.NameEquals("forecastingSettings"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
forecastingSettings = null;
continue;
}
forecastingSettings = ForecastingSettings.DeserializeForecastingSettings(property.Value);
continue;
}
if (property.NameEquals("primaryMetric"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
primaryMetric = new ForecastingPrimaryMetrics(property.Value.GetString());
continue;
}
if (property.NameEquals("dataSettings"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
dataSettings = null;
continue;
}
dataSettings = TableVerticalDataSettings.DeserializeTableVerticalDataSettings(property.Value);
continue;
}
if (property.NameEquals("featurizationSettings"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
featurizationSettings = null;
continue;
}
featurizationSettings = TableVerticalFeaturizationSettings.DeserializeTableVerticalFeaturizationSettings(property.Value);
continue;
}
if (property.NameEquals("limitSettings"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
limitSettings = null;
continue;
}
limitSettings = TableVerticalLimitSettings.DeserializeTableVerticalLimitSettings(property.Value);
continue;
}
if (property.NameEquals("trainingSettings"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
trainingSettings = null;
continue;
}
trainingSettings = TrainingSettings.DeserializeTrainingSettings(property.Value);
continue;
}
if (property.NameEquals("logVerbosity"))
{
if (property.Value.ValueKind == JsonValueKind.Null)
{
property.ThrowNonNullablePropertyIsNull();
continue;
}
logVerbosity = new LogVerbosity(property.Value.GetString());
continue;
}
if (property.NameEquals("taskType"))
{
taskType = new TaskType(property.Value.GetString());
continue;
}
}
return(new Forecasting(Optional.ToNullable(logVerbosity), taskType, Optional.ToList(allowedModels), Optional.ToList(blockedModels), forecastingSettings.Value, Optional.ToNullable(primaryMetric), dataSettings.Value, featurizationSettings.Value, limitSettings.Value, trainingSettings.Value));
}
