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