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)
net8.0
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
{
[IgnoreDataMember]
[XmlIgnore]
public bool IsPointMass { get; }
}
}
.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 net8.0 | |
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 | The property getter is supported on all platforms. |
- Built-in API
- Package-provided API