Package com.pulumi.azurenative.machinelearningservices.outputs

Class ForecastingSettingsResponse

  • public final class ForecastingSettingsResponse
extends java.lang.Object

    • Method Detail

      • countryOrRegionForHolidays

        public java.util.Optional<java.lang.String> countryOrRegionForHolidays()
        Returns:
        Country or region for holidays for forecasting tasks. These should be ISO 3166 two-letter country/region codes, for example 'US' or 'GB'.

      • cvStepSize

        public java.util.Optional<java.lang.Integer> cvStepSize()
        Returns:
        Number of periods between the origin time of one CV fold and the next fold. For example, if `CVStepSize` = 3 for daily data, the origin time for each fold will be three days apart.

      • featureLags

        public java.util.Optional<java.lang.String> featureLags()
        Returns:
        Flag for generating lags for the numeric features with 'auto' or null.

      • frequency

        public java.util.Optional<java.lang.String> frequency()
        Returns:
        When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc. The forecast frequency is dataset frequency by default.

      • seasonality

        public java.util.Optional<com.pulumi.core.Either<AutoSeasonalityResponse,​CustomSeasonalityResponse>> seasonality()
        Returns:
        Set time series seasonality as an integer multiple of the series frequency. If seasonality is set to 'auto', it will be inferred.

      • shortSeriesHandlingConfig

        public java.util.Optional<java.lang.String> shortSeriesHandlingConfig()
        Returns:
        The parameter defining how if AutoML should handle short time series.

      • targetAggregateFunction

        public java.util.Optional<java.lang.String> targetAggregateFunction()
        Returns:
        The function to be used to aggregate the time series target column to conform to a user specified frequency. If the TargetAggregateFunction is set i.e. not 'None', but the freq parameter is not set, the error is raised. The possible target aggregation functions are: "sum", "max", "min" and "mean".

      • timeColumnName

        public java.util.Optional<java.lang.String> timeColumnName()
        Returns:
        The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency.

      • timeSeriesIdColumnNames

        public java.util.List<java.lang.String> timeSeriesIdColumnNames()
        Returns:
        The names of columns used to group a timeseries. It can be used to create multiple series. If grain is not defined, the data set is assumed to be one time-series. This parameter is used with task type forecasting.

      • useStl

        public java.util.Optional<java.lang.String> useStl()
        Returns:
        Configure STL Decomposition of the time-series target column.