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)
net10.0-windows7.0
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
{
public void GetMeanAndVariance(out double mean, out double variance);
}
}
Upgrade Planner | 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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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 | This API is supported on all platforms. |
- Built-in API
- Package-provided API