DiscreteFromDirichletOp
AverageLogFactor(Discrete, Dirichlet)
AverageLogFactor(Discrete, Vector)
AverageLogFactor(Int32, Dirichlet)
AverageLogFactor(Int32, Vector)
LogAverageFactor(Discrete, Discrete)
LogAverageFactor(Int32, Dirichlet)
LogAverageFactor(Int32, Vector)
LogEvidenceRatio(Discrete, Dirichlet)
LogEvidenceRatio(Discrete, Vector)
LogEvidenceRatio(Int32, Dirichlet)
LogEvidenceRatio(Int32, Vector)
ProbsAverageConditional(Int32, Dirichlet)
ProbsAverageConditional(Discrete, Dirichlet, Dirichlet)
ProbsAverageConditional(Discrete, Vector, Dirichlet)
ProbsAverageLogarithm(Discrete, Dirichlet)
ProbsAverageLogarithm(Int32, Dirichlet)
ProbsConditional(Int32, Dirichlet)
SampleAverageConditional(Dirichlet, Discrete)
SampleAverageConditional(Vector, Discrete)
SampleAverageConditionalInit(Dirichlet)
SampleAverageConditionalInit(Vector)
SampleAverageLogarithm(Dirichlet, Discrete)
SampleAverageLogarithm(Vector, Discrete)
SampleAverageLogarithmInit(Dirichlet)
SampleAverageLogarithmInit(Vector)
SampleConditional(Vector, Discrete)
netcoreapp3.1
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Discrete), "Sample", new[] { typeof(Vector) })]
[FactorMethod(typeof(EnumSupport), "DiscreteEnum<>", new[] { })]
[FactorMethod(new[] { "sample", "probs" }, typeof(Factor), "Discrete", new[] { typeof(Vector) })]
[Quality(QualityBand.Mature)]
public static class DiscreteFromDirichletOp
{
public static Dirichlet ProbsAverageConditional([SkipIfUniform] Discrete sample, Vector probs, Dirichlet result);
}
}
.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 netcoreapp3.1 | |
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