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)
netcoreapp2.2
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 double AverageLogFactor([Proper] VectorGaussian sample, Vector SampleMean, PositiveDefiniteMatrix SampleVariance, [Proper] VectorGaussian mean, Vector MeanMean, PositiveDefiniteMatrix MeanVariance, PositiveDefiniteMatrix precision);
}
}
.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 netcoreapp2.2 | |
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