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)
netstandard2.1
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 double LogAverageFactor(Discrete sample, [Fresh] Discrete to_sample);
}
}
.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 netstandard2.1 | |
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