DirichletOp
damping
AverageLogFactor(Dirichlet, Dirichlet, Gamma)
AverageLogFactor(Dirichlet, Vector, Gamma)
AverageLogFactor(Vector, Dirichlet, Gamma)
AverageLogFactor(Vector, Vector, Double)
AverageLogFactor(Vector, Vector, Gamma)
EvidenceMessageExpectations(Dirichlet, Gamma)
LogAverageFactor(Dirichlet, Dirichlet, Double)
LogAverageFactor(Dirichlet, Dirichlet, Gamma)
LogAverageFactor(Dirichlet, Vector, Gamma)
LogAverageFactor(Vector, Dirichlet, Double)
LogAverageFactor(Vector, Dirichlet, Gamma)
LogAverageFactor(Vector, Vector, Double)
LogAverageFactor(Vector, Vector, Gamma)
LogAverageFactor(Dirichlet, Vector, Dirichlet, Double)
LogEvidenceRatio(Vector, Vector, Double)
MeanAverageConditional(Dirichlet, Double, Dirichlet, Dirichlet)
MeanAverageConditional(Dirichlet, Double, Vector, Dirichlet)
MeanAverageConditional(Dirichlet, Gamma, Dirichlet, Dirichlet)
MeanAverageConditional(Dirichlet, Gamma, Vector, Dirichlet)
MeanAverageLogarithm(Dirichlet, Gamma, Dirichlet, Dirichlet)
MeanMessageExpectations(Vector, Gamma, Double[], Double[], Double[])
ProbAverageConditional(Dirichlet, Double)
ProbAverageConditional(Dirichlet, Gamma)
ProbAverageConditional(Vector, Double)
ProbAverageConditional(Vector, Gamma)
ProbAverageConditional(Vector, Double, Dirichlet)
ProbAverageLogarithm(Dirichlet, Double, Dirichlet)
ProbAverageLogarithm(Dirichlet, Gamma, Dirichlet)
ProbAverageLogarithm(Vector, Double, Dirichlet)
ProbAverageLogarithm(Vector, Gamma, Dirichlet)
TotalCountAverageConditional(Dirichlet, Gamma, Dirichlet, Gamma)
TotalCountAverageConditional(Dirichlet, Gamma, Vector, Gamma)
TotalCountAverageConditional(Vector, Gamma, Dirichlet, Gamma)
TotalCountAverageConditional(Vector, Gamma, Vector, Gamma)
TotalCountAverageLogarithm(Dirichlet, Gamma, Dirichlet, Gamma)
TotalCountAverageLogarithm(Vector, Gamma, Dirichlet, Gamma)
TotalCountMessageExpectations(Vector, Gamma, Double[], Double[], Double[])
net6.0-windows
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Factor), "DirichletFromMeanAndTotalCount", new[] { })]
[Quality(QualityBand.Preview)]
public static class DirichletOp
{
[NotSupported("Expectation Propagation does not currently support Dirichlet distributions with stochastic arguments")]
public static Gamma TotalCountAverageConditional([SkipIfUniform] Dirichlet mean, [SkipIfUniform] Gamma totalCount, Vector prob, [SkipIfUniform] Gamma 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 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