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)
net6.0-windows
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, Vector mean, [Proper] Wishart precision, PositiveDefiniteMatrix precisionMean, double precisionMeanLogDet);
}
}
.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 net6.0 | |
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