ExpOp
ForceProper
QuadratureIterations
QuadratureNodeCount
QuadratureShift
UseRandomDamping
ExpOp()
AverageLogFactor()
AverageLogFactor(Double, Double)
DAverageConditional(Double)
DAverageConditional(Gamma, Gaussian, Gaussian)
DAverageConditional(GammaPower, Gaussian, Gaussian)
DAverageLogarithm(Double)
DAverageLogarithm(Gamma, Gaussian, Gaussian)
DAverageLogarithm(Gamma, NonconjugateGaussian, NonconjugateGaussian)
DNonconjugateAverageLogarithm(Gamma, Gaussian, NonconjugateGaussian)
ExpAverageConditional(Gamma, Gaussian, Gaussian)
ExpAverageConditional(GammaPower, Gaussian, Gaussian)
ExpAverageConditionalInit(Gaussian)
ExpAverageLogarithm(Gaussian)
ExpAverageLogarithm(NonconjugateGaussian)
ExpAverageLogarithm(Gaussian, GammaPower)
ExpAverageLogarithmInit()
LogAverageFactor_slow(Gamma, Gaussian)
LogAverageFactor(Double, Double)
LogAverageFactor(Double, Gaussian)
LogAverageFactor(Gamma, Gaussian, Gaussian)
LogAverageFactor(GammaPower, Gaussian, Gaussian)
LogAverageFactor(CanGetLogProb<Double>, Double)
LogEvidenceRatio(Double, Double)
LogEvidenceRatio(Double, Gaussian)
LogEvidenceRatio(Gamma, Gaussian, Gamma, Gaussian)
LogEvidenceRatio(GammaPower, Gaussian, GammaPower, Gaussian)
net6.0-windows
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Math), "Exp", new[] { typeof(double) }, Default = true)]
[Quality(QualityBand.Stable)]
public class ExpOp
{
[Skip]
public static Gamma ExpAverageLogarithmInit();
}
}
.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 net6.0 | |
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 API is supported on all platforms. |
- Built-in API
- Package-provided API