Class GaussianOp_EM
Inheritance
GaussianOp_EM
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Gaussian), "Sample", new Type[]{typeof(double), typeof(double)}, Default = false)]
[FactorMethod(new string[]{"sample", "mean", "precision"}, typeof(Factor), "Gaussian", new Type[]{}, Default = false)]
[Quality(QualityBand.Experimental)]
public class GaussianOp_EM : GaussianOpBase
Methods
LogEvidenceRatio(Gaussian, Gaussian, Gamma)
Declaration
public static double LogEvidenceRatio(Gaussian sample, Gaussian mean, Gamma precision)
Parameters
Returns
MeanAverageConditional(Gaussian, Gamma)
Declaration
public static Gaussian MeanAverageConditional(Gaussian sample, Gamma precision)
Parameters
Returns
PrecisionAverageConditional(Gaussian, Gaussian, Gamma)
Declaration
public static Gamma PrecisionAverageConditional(Gaussian sample, Gaussian mean, Gamma precision)
Parameters
Returns
SampleAverageConditional(Gaussian, Gamma)
Declaration
public static Gaussian SampleAverageConditional(Gaussian mean, Gamma precision)
Parameters
Returns