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)
net472
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 SetToPower(Gamma dist, double exponent);
}
}
.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 net472 | |
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