VectorGaussianOp
AverageLogFactor(Vector, Vector, PositiveDefiniteMatrix)
AverageLogFactor(Vector, Vector, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
AverageLogFactor(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
AverageLogFactor(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double)
LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix)
LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
LogAverageFactor(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(VectorGaussian, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio(VectorGaussian, VectorGaussian, PositiveDefiniteMatrix)
LogEvidenceRatio(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
MeanAverageConditional(Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm(Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm(Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm(VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
MeanConditional(Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
MeanMeanInit(VectorGaussian)
MeanVariance(VectorGaussian, PositiveDefiniteMatrix)
MeanVarianceInit(VectorGaussian)
PrecisionAverageConditional(Vector, Vector, Wishart)
PrecisionAverageLogarithm(Vector, Vector, Wishart)
PrecisionAverageLogarithm(Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart)
PrecisionAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart)
PrecisionAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart)
PrecisionConditional(Vector, Vector, Wishart)
PrecisionConditional(Vector, Vector, Wishart, Vector)
PrecisionMean(Wishart, PositiveDefiniteMatrix)
PrecisionMeanInit(Wishart)
PrecisionMeanLogDet(Wishart)
SampleAverageConditional(Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageConditional(VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageConditionalInit(Vector)
SampleAverageConditionalInit(VectorGaussian)
SampleAverageLogarithm(Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm(Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm(VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm(VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithmInit(Vector)
SampleAverageLogarithmInit(VectorGaussian)
SampleConditional(Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleMean(VectorGaussian, PositiveDefiniteMatrix, Vector)
SampleMeanInit(VectorGaussian)
SampleVariance(VectorGaussian, PositiveDefiniteMatrix)
SampleVarianceInit(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.Stable)]
public static class VectorGaussianOp
{
public static Wishart PrecisionAverageLogarithm([Proper] VectorGaussian Sample, Vector SampleMean, PositiveDefiniteMatrix SampleVariance, [Proper] VectorGaussian Mean, Vector MeanMean, PositiveDefiniteMatrix MeanVariance, 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