GammaRatioOp
AAverageConditional(Double, Double)
AAverageConditional(Double, Gamma)
AAverageConditional(Gamma, Double)
BAverageConditional(Double, Double)
BAverageConditional(Double, Gamma)
BAverageConditional(Gamma, Double)
LogAverageFactor(Double, Double, Double)
LogAverageFactor(Double, Double, Gamma)
LogAverageFactor(Double, Gamma, Double)
LogAverageFactor(Double, Gamma, Gamma)
LogAverageFactor(Gamma, Gamma, Double)
LogEvidenceRatio(Double, Double, Gamma)
LogEvidenceRatio(Double, Gamma, Double)
LogEvidenceRatio(Gamma, Gamma, Double)
RatioAverageConditional(Double, Gamma)
RatioAverageConditional(Gamma, Double)
netstandard2.0
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Factor), "Ratio", new[] { typeof(double), typeof(double) })]
[Quality(QualityBand.Preview)]
public static class GammaRatioOp
{
public static double LogAverageFactor(double ratio, double A, Gamma B);
}
}
.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