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