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)
net5.0
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 net5.0 | |
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