SparseGammaList
SparseGammaList()
FromMeanAndMeanLog(Int32, Double, Double)
FromMeanAndMeanLog(Int32, Double, Double, Double)
FromMeanAndVariance(Int32, Double, Double)
FromMeanAndVariance(Int32, Double, Double, Double)
FromNatural(Int32, Double, Double)
FromNatural(Int32, Double, Double, Double)
FromShapeAndRate(Vector, Vector)
FromShapeAndRate(Int32, Double, Double)
FromShapeAndRate(Vector, Vector, Double)
FromShapeAndRate(Int32, Double, Double, Double)
FromShapeAndScale(Int32, Double, Double)
FromShapeAndScale(Int32, Double, Double, Double)
FromShapeAndScale(ISparseList<Double>, ISparseList<Double>)
FromShapeAndScale(ISparseList<Double>, ISparseList<Double>, Double)
Sample(ISparseList<Double>, ISparseList<Double>)
operator *(SparseGammaList, SparseGammaList)
operator /(SparseGammaList, SparseGammaList)
operator ^(SparseGammaList, Double)
net6.0-windows
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Stable)]
public class SparseGammaList : SparseDistributionList<Gamma, double, SparseGammaList>, CanGetAverageLog<SparseGammaList>, CanGetLogAverageOf<SparseGammaList>, CanGetLogAverageOfPower<SparseGammaList>, CanGetLogProb<ISparseList<double>>, CanGetMean<ISparseList<double>>, CanGetVariance<ISparseList<double>>, HasPoint<ISparseList<double>>, IDistribution, IDistribution<ISparseList<double>>, Sampleable<ISparseList<double>>, SettableToUniform, Diffable, SettableTo<SparseGammaList>, SettableToPower<SparseGammaList>, SettableToProduct<SparseGammaList>, SettableToProduct<SparseGammaList, SparseGammaList>, SettableToRatio<SparseGammaList>, SettableToRatio<SparseGammaList, SparseGammaList>, SettableToWeightedSum<SparseGammaList>, ICloneable
{
public static SparseGammaList FromShapeAndRate(int size, double shape, double rate, double tolerance);
}
}
.NET | 5.06.07.08.09.010.0 |
---|---|
.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 net6.0 | |
Assembly | Microsoft.ML.Probabilistic , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
Referencing | Your project needs a package reference to |
Package | Microsoft.ML.Probabilistic (0.4.2403.801) netstandard2.0 |
Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API