VectorGaussianOp_Laplace2
LogAverageFactor(Vector, VectorGaussian, Wishart, Wishart)
LogAverageFactor(VectorGaussian, VectorGaussian, Wishart, Wishart)
LogEvidenceRatio(Vector, VectorGaussian, Wishart, Wishart)
LogEvidenceRatio(VectorGaussian, VectorGaussian, Wishart, Wishart, VectorGaussian)
MeanAverageConditional(VectorGaussian, Wishart, Wishart, VectorGaussian)
PrecisionAverageConditional(VectorGaussian, VectorGaussian, Wishart, Wishart, Wishart)
SampleAverageConditional(VectorGaussian, Wishart, Wishart, VectorGaussian)
xamarinmac
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "SampleMean", "SampleVariance", "MeanMean", "MeanVariance", "PrecisionMean", "PrecisionMeanLogDet" })]
[FactorMethod(typeof(VectorGaussian), "Sample", new[] { typeof(Vector), typeof(PositiveDefiniteMatrix) })]
[FactorMethod(new[] { "sample", "mean", "precision" }, typeof(Factor), "VectorGaussian", new[] { })]
[Quality(QualityBand.Preview)]
public static class VectorGaussianOp_Laplace2
{
public static Wishart PrecisionAverageConditional([SkipIfUniform] VectorGaussian sample, [SkipIfUniform] VectorGaussian mean, [Proper] Wishart precision, Wishart to_precision, Wishart 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 xamarinmac | |
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