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)
net462
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
{
public void SetMeanAndVariance(double mean, double variance);
}
}
.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 net462 | |
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