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)
netcoreapp3.1
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 FromMeanAndMeanLog(int size, double mean, double meanLog, 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 netcoreapp3.1 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API