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
{
public static void TotalCountMessageExpectations(Vector meanQPseudoCount, Gamma totalCountQ, out double[] EELogGamma, out double[] EELogSLogGamma, out double[] EEMSDigamma);
}
}
| .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