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)
net462
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Factor), "Ratio", new[] { typeof(double), typeof(double) })]
[Quality(QualityBand.Preview)]
public static class GammaRatioOp
{
public static Gamma BAverageConditional(double ratio, double A);
}
}
.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 net462 | |
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