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 Discrete SampleConditional(Vector probs, Discrete 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