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)
net9.0
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
}
| nuget.org | 0.0 %
Reference this API 0.0 %
Read field |
|---|---|
| .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 net9.0 | |
| Assembly | Microsoft.ML.Probabilistic , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
| Referencing | Your project needs a package reference to |
| Package | Microsoft.ML.Probabilistic netstandard2.0 |
| Platform Restrictions | This API is supported on all platforms. |
- Built-in API
- Package-provided API