• ForecastingCatalog
    • Forecasters
    • Trainers
    • ForecastBySsa(ForecastingCatalog, String, String, Int32, Int32, Int32, Int32, Boolean, Single, RankSelectionMethod, Int32?, Int32?, Boolean, Boolean, GrowthRatio?, String, String, Single, Boolean)
netcoreapp2.2
namespace Microsoft.ML
{
    public static class TimeSeriesCatalog
    {
        public static SsaForecastingEstimator ForecastBySsa(this ForecastingCatalog catalog, string outputColumnName, string inputColumnName, int windowSize, int seriesLength, int trainSize, int horizon, bool isAdaptive = false, float discountFactor = 1F, RankSelectionMethod rankSelectionMethod = RankSelectionMethod.Exact, int? rank = default, int? maxRank = default, bool shouldStabilize = true, bool shouldMaintainInfo = false, GrowthRatio? maxGrowth = default, string confidenceLowerBoundColumn = null, string confidenceUpperBoundColumn = null, float confidenceLevel = 0.95F, bool variableHorizon = false);
    }
}
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.NET 5.06.07.08.09.0
.NET Core 2.02.12.23.03.1
.NET Framework 4.6.14.6.24.74.7.14.7.24.84.8.1
.NET Standard 2.02.1
Information specific to netcoreapp2.2
Assembly

Microsoft.ML.TimeSeries , Version=1.0.0.0, PublicKeyToken=cc7b13ffcd2ddd51

Referencing

Your project needs a package reference to Microsoft.ML.TimeSeries.

Package Microsoft.ML.TimeSeries (4.0.0) netstandard2.0
Platform Restrictions

This framework does not have platform annotations.

  • Built-in API
  • Package-provided API

12/22/2024
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