GammaPower
Power
Rate
Shape
GammaPower(GammaPower)
GammaPower(Double, Double, Double)
IsPointMass
Point
Clone()
Equals(Object)
FromGamma(Gamma, Double)
FromLogMeanMinusMeanLog(Double, Double, Double)
FromMeanAndMeanLog(Double, Double, Double)
FromMeanAndVariance(Double, Double, Double)
FromShapeAndRate(Double, Double, Double)
FromShapeAndScale(Double, Double, Double)
GetAverageLog(GammaPower)
GetHashCode()
GetLogAverageOf(GammaPower)
GetLogAverageOfPower(GammaPower, Double)
GetLogMeanPower(Double)
GetLogNormalizer()
GetLogProb(Double)
GetLogProb(Double, Double, Double, Double)
GetMean()
GetMeanAndVariance(Double, Double)
GetMeanLog()
GetMeanPower(Double)
GetMode()
GetMode(Double, Double, Double)
GetProbLessThan(Double)
GetQuantile(Double)
GetVariance()
IsProper()
IsProper(Double, Double, Double)
IsUniform()
MaxDiff(Object)
PointMass(Double, Double)
Sample()
Sample(Double)
Sample(Double, Double, Double)
SampleFromMeanAndVariance(Double, Double, Double)
SetMeanAndVariance(Double, Double)
SetShapeAndRate(Double, Double, Double)
SetShapeAndScale(Double, Double, Double)
SetTo(GammaPower)
SetToPower(GammaPower, Double)
SetToProduct(GammaPower, GammaPower)
SetToRatio(GammaPower, GammaPower, Boolean)
SetToSum(Double, GammaPower, Double, GammaPower)
SetToUniform()
ToString()
Uniform(Double)
operator !=(GammaPower, GammaPower)
operator *(GammaPower, GammaPower)
operator /(GammaPower, Double)
operator /(GammaPower, GammaPower)
operator ^(GammaPower, Double)
operator ==(GammaPower, GammaPower)
xamarinmac
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Experimental)]
public struct GammaPower : CanGetAverageLog<GammaPower>, CanGetLogAverageOf<GammaPower>, CanGetLogAverageOfPower<GammaPower>, CanGetLogNormalizer, CanGetLogProb<double>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetMode<double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<double>, IDistribution, IDistribution<double>, Sampleable<double>, SettableToUniform, Diffable, SettableTo<GammaPower>, SettableToPower<GammaPower>, SettableToProduct<GammaPower>, SettableToProduct<GammaPower, GammaPower>, SettableToRatio<GammaPower>, SettableToRatio<GammaPower, GammaPower>, SettableToWeightedSum<GammaPower>, ICloneable
{
[Stochastic]
public double Sample(double result);
}
}
.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 xamarinmac | |
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