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)
net7.0
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
{
public static Dirichlet ProbsConditional(int sample, 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 net7.0 | |
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