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)
net461
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 bool IsUniform();
}
}
| .NET | 5.06.07.08.09.0 |
|---|---|
| .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 net461 | |
| 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