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)
net6.0
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
{
[Skip]
public static Discrete SampleAverageLogarithmInit([IgnoreDependency] Vector probs);
}
}
.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