DirichletSymmetricOp
AlphaAverageConditional(Gamma, Dirichlet, Gamma)
AlphaAverageLogarithm(Dirichlet, ConjugateDirichlet, Vector)
AlphaAverageLogarithm(Vector, ConjugateDirichlet, Vector)
AlphaAverageLogarithm(Vector, Gamma, Gamma)
AlphaAverageLogarithm(Dirichlet, Gamma, Vector, Gamma)
AverageLogFactor(Dirichlet, ConjugateDirichlet)
AverageLogFactor(Vector, ConjugateDirichlet)
AverageLogFactor(Vector, Gamma)
AverageLogFactor(Dirichlet, Double, Vector)
AverageLogFactor(Dirichlet, Gamma, Vector)
AverageLogFactor(IList<Double>, Double)
LogAverageFactor(Dirichlet, Double)
LogAverageFactor(Dirichlet, Gamma)
LogAverageFactor(IList<Double>, Double)
LogEvidenceRatio(Dirichlet, Double)
LogEvidenceRatio(IList<Double>, Double)
ProbAverageConditional(Double, Dirichlet)
ProbAverageConditional(Gamma, Dirichlet)
ProbAverageConditionalInit(Int32)
ProbAverageLogarithm(ConjugateDirichlet, Dirichlet)
ProbAverageLogarithm(Double, Dirichlet)
ProbAverageLogarithm(Gamma, Dirichlet)
ProbAverageLogarithmInit(Int32)
ProbMeanLog(Dirichlet, Vector)
ProbMeanLog(Vector, Vector)
ProbMeanLogInit(Dirichlet)
ProbMeanLogInit(Vector)
net9.0
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "probMeanLog" })]
[FactorMethod(typeof(Factor), "DirichletSymmetric", new[] { })]
[Quality(QualityBand.Preview)]
public static class DirichletSymmetricOp
{
[Skip]
public static Dirichlet ProbAverageLogarithmInit(int K);
}
}
.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 net9.0 | |
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