VectorGaussianFromMeanAndVarianceOp
AverageLogFactor(VectorGaussian, VectorGaussian)
AverageLogFactor(Vector, Vector, PositiveDefiniteMatrix)
AverageLogFactor(Vector, VectorGaussian, VectorGaussian)
LogAverageFactor(VectorGaussian, VectorGaussian)
LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(Vector, VectorGaussian, PositiveDefiniteMatrix)
LogEvidenceRatio(VectorGaussian, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(VectorGaussian, VectorGaussian, PositiveDefiniteMatrix)
MeanAverageConditional(Vector, PositiveDefiniteMatrix)
MeanAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm(Vector, PositiveDefiniteMatrix)
SampleAverageConditional(Vector, PositiveDefiniteMatrix)
SampleAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm(Vector, PositiveDefiniteMatrix)
net461
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(VectorGaussian), "SampleFromMeanAndVariance", new[] { })]
[Quality(QualityBand.Stable)]
public static class VectorGaussianFromMeanAndVarianceOp
{
public static double LogAverageFactor(VectorGaussian sample, [Fresh] VectorGaussian 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 net461 | |
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