Gamma
Rate
Shape
Gamma(Gamma)
Gamma(Double, Double)
IsPointMass
Point
Clone()
Equals(Object)
FromDerivatives(Double, Double, Double, Double, Boolean)
FromLogMeanMinusMeanLog(Double, Double)
FromMeanAndMeanLog(Double, Double)
FromMeanAndVariance(Double, Double)
FromNatural(Double, Double)
FromShapeAndRate(Double, Double)
FromShapeAndScale(Double, Double)
GetAverageLog(Gamma)
GetDerivatives(Double, Double, Double)
GetDerivatives(Gamma, Double, Double, Double)
GetHashCode()
GetLogAverageOf(Gamma)
GetLogAverageOfPower(Gamma, Double)
GetLogMeanMinusMeanLog()
GetLogNormalizer()
GetLogProb(Double)
GetLogProb(Double, Double, Double, Boolean)
GetMean()
GetMeanAndVariance(Double, Double)
GetMeanInverse()
GetMeanLog()
GetMeanPower(Double)
GetMode()
GetProbBetween(Double, Double)
GetProbLessThan(Double)
GetQuantile(Double)
GetScale()
GetShapeAndScale(Double, Double)
GetVariance()
IsProper()
IsProper(Double, Double)
IsUniform()
MaxDiff(Object)
PointMass(Double)
Sample()
Sample(Double)
Sample(Double, Double)
SampleFromMeanAndVariance(Double, Double)
SetMeanAndVariance(Double, Double)
SetNatural(Double, Double)
SetShapeAndRate(Double, Double)
SetShapeAndScale(Double, Double)
SetTo(Gamma)
SetToPower(Gamma, Double)
SetToProduct(Gamma, Gamma)
SetToRatio(Gamma, Gamma, Boolean)
SetToSum(Double, Gamma, Double, Gamma)
SetToUniform()
ToString()
Uniform()
operator !=(Gamma, Gamma)
operator *(Gamma, Gamma)
operator /(Gamma, Gamma)
operator ^(Gamma, Double)
operator ==(Gamma, Gamma)
netcoreapp2.1
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public struct Gamma : CanGetAverageLog<Gamma>, CanGetLogAverageOf<Gamma>, CanGetLogAverageOfPower<Gamma>, CanGetLogNormalizer, CanGetLogProb<double>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetMode<double>, CanGetProbLessThan<double>, CanGetQuantile<double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<double>, IDistribution, IDistribution<double>, Sampleable<double>, SettableToUniform, Diffable, SettableTo<Gamma>, SettableToPower<Gamma>, SettableToProduct<Gamma>, SettableToProduct<Gamma, Gamma>, SettableToRatio<Gamma>, SettableToRatio<Gamma, Gamma>, SettableToWeightedSum<Gamma>, ICloneable
{
[Stochastic]
public static double Sample(double shape, double scale);
}
}
nuget.org | 0.0 %
Reference this API |
---|---|
.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 netcoreapp2.1 | |
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