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)
net10.0-windows7.0
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, [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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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