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)
netcoreapp2.0
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
{
public static GammaPower FromMeanAndMeanLog(double mean, double meanLog, double power);
}
}
.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 netcoreapp2.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API