GaussianFromMeanAndVarianceOp
ForceProper
nWeights
AverageLogFactor(Double, Double, Double)
AverageLogFactor(Double, Gaussian, Double)
AverageLogFactor(Gaussian, Double, Double)
AverageLogFactor(Gaussian, Gaussian, Double)
BinomialTransform(Double[])
InterpolateBesselKMoment(Double, Double[])
LaplacianTimesGaussianMoments(Double, Double, Double, Double, Double)
LogAverageFactor(Double, Double, Double)
LogAverageFactor(Double, Gaussian, Double)
LogAverageFactor(Gaussian, Double, Double)
LogAverageFactor(Gaussian, Gaussian, Double)
LogAverageFactor(Gaussian, Gaussian, Gamma)
LogEvidenceRatio(Double, Double, Double)
LogEvidenceRatio(Double, Gaussian, Double)
LogEvidenceRatio(Gaussian, Double, Double)
LogEvidenceRatio(Gaussian, Gaussian, Double)
LogEvidenceRatio(Gaussian, Gaussian, Gamma, Gaussian)
MeanAverageConditional(Double, Double)
MeanAverageConditional(Gaussian, Double)
MeanAverageConditional(Double, Double, TruncatedGaussian)
MeanAverageConditional(Double, Gaussian, Gamma)
MeanAverageConditional(Gaussian, Gaussian, Gamma)
MeanAverageLogarithm(Double, Double)
MeanAverageLogarithm(Gaussian, Double)
NormalCdfMoment(Int32, Double, Double)
NormalCdfMomentRatios(Int32, Double, Double)
NormalCdfMomentRecurrence(Int32, Double, Double)
NormalCdfMoments(Int32, Double, Double)
NormalVGMomentRatio(Int32, Int32, Double, Double)
NormalVGMomentRatios(Int32, Int32, Double, Double)
NormalVGMoments(Int32, Int32, Double, Double)
NormalVGMomentTable(Int32, Int32, Double, Double, Double[])
SampleAverageConditional(Double, Double)
SampleAverageConditional(Gaussian, Double)
SampleAverageConditional(Double, Double, TruncatedGaussian)
SampleAverageConditional(Gaussian, Double, Gamma)
SampleAverageConditional(Gaussian, Gaussian, Gamma)
SampleAverageLogarithm(Double, Double)
SampleAverageLogarithm(Gaussian, Double)
VarianceAverageConditional(Double, Double)
VarianceAverageConditional(Double, Double, Gamma)
VarianceAverageConditional(Double, Gaussian, Gamma)
VarianceAverageConditional(Gaussian, Double, Gamma)
VarianceAverageConditional(Gaussian, Gaussian, Gamma)
VarianceGammaTimesGaussianIntegral(Double, Double, Double)
VarianceGammaTimesGaussianMoments2(Double, Double, Double, Double, Double)
VarianceGammaTimesGaussianMoments3(Double, Double, Double, Double, Double)
VarianceGammaTimesGaussianMoments4(Double, Double, Double, Double, Double)
VarianceGammaTimesGaussianMoments5(Double, Double, Double, Double, Double)
net10.0-windows7.0
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Factor), "GaussianFromMeanAndVariance", new[] { })]
[Quality(QualityBand.Stable)]
public static class GaussianFromMeanAndVarianceOp
{
[Skip]
public static double LogEvidenceRatio(Gaussian sample, Gaussian mean, double variance);
}
}
.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