PowerOp
FromMeanPowerAndMeanLog(Double, Double, Double)
GammaFromGammaPower(GammaPower)
GammaFromMeanAndMeanInverse(Double, Double)
GammaPowerFromDifferentPower(GammaPower, Double)
LogAverageFactor(GammaPower, GammaPower, Double)
PowAverageConditional(Gamma, Double)
PowAverageConditional(Pareto, Double)
PowAverageConditional(TruncatedGamma, Double)
PowAverageConditional(Gamma, Double, Gamma)
PowAverageConditional(GammaPower, Double, GammaPower)
PowAverageConditional(TruncatedGamma, Double, GammaPower)
PowAverageLogarithm(Gamma, Double)
PowAverageLogarithm(GammaPower, Double, GammaPower)
XAverageConditional(GammaPower, Double)
XAverageConditional(Gamma, TruncatedGamma, Double)
XAverageConditional(GammaPower, TruncatedGamma, Double)
XAverageConditional(Pareto, Gamma, Double)
XAverageConditional(Gamma, Gamma, Double, Gamma)
XAverageConditional(GammaPower, GammaPower, Double, GammaPower)
XAverageLogarithm(GammaPower, Double)
XAverageLogarithm(GammaPower, GammaPower, Double, GammaPower)
netstandard2.0
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Math), "Pow", new[] { typeof(double), typeof(double) })]
[Quality(QualityBand.Experimental)]
public static class PowerOp
{
public static GammaPower XAverageConditional([SkipIfUniform] GammaPower pow, GammaPower x, double y, GammaPower 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 netstandard2.0 | |
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