GaussianOp
ForceProper
modified
QuadratureNodeCount
GaussianOp()
AverageLogFactor(Double, Double, Double)
AverageLogFactor(Double, Double, Gamma)
AverageLogFactor(Double, Gaussian, Double)
AverageLogFactor(Double, Gaussian, Gamma)
AverageLogFactor(Gaussian, Double, Double)
AverageLogFactor(Gaussian, Double, Gamma)
AverageLogFactor(Gaussian, Gaussian, Double)
AverageLogFactor(Gaussian, Gaussian, Gamma)
GammaFromAlphaBeta(Gamma, Double, Double, Boolean)
GaussianFromAlphaBeta(Gaussian, Double, Double, Boolean)
LogAverageFactor_slow(Gaussian, Gaussian, Gamma)
LogAverageFactor(Double, Gaussian, Gamma, Gamma)
LogAverageFactor(Gaussian, Double, Gamma, Gamma)
LogAverageFactor(Gaussian, Gaussian, Gamma, Gamma)
LogEvidenceRatio(Double, Gaussian, Gamma, Gamma)
LogEvidenceRatio(Gaussian, Double, Gamma, Gaussian, Gamma)
LogEvidenceRatio(Gaussian, Gaussian, Gamma, Gaussian, Gamma)
LogFactorValue(Double, Double, Double)
MeanAverageConditional_slow(Gaussian, Gaussian, Gamma)
MeanAverageConditional(Double, Double, TruncatedGaussian)
MeanAverageConditional(Double, Gaussian, Gamma, Gamma)
MeanAverageConditional(Gaussian, Gaussian, Gamma, Gamma)
MeanAverageLogarithm(Double, Double)
MeanAverageLogarithm(Double, Gamma)
MeanAverageLogarithm(Gaussian, Double)
MeanAverageLogarithm(Gaussian, Gamma)
PrecisionAverageConditional_Point(Double, Double, Double)
PrecisionAverageConditional_slow(Gaussian, Gaussian, Gamma)
PrecisionAverageConditional(Gaussian, Gaussian, Gamma)
PrecisionAverageLogarithm(Double, Double)
PrecisionAverageLogarithm(Double, Gaussian)
PrecisionAverageLogarithm(Gaussian, Double)
PrecisionAverageLogarithm(Gaussian, Gaussian)
QuadratureNodesAndWeights(Gamma, Double[], Double[])
SampleAverageConditional_slow(Gaussian, Gaussian, Gamma)
SampleAverageConditional(Double, Double, TruncatedGaussian)
SampleAverageConditional(Gaussian, Double, Gamma, Gamma)
SampleAverageConditional(Gaussian, Gaussian, Gamma, Gamma)
SampleAverageConditionalInit()
SampleAverageLogarithm(Double, Double)
SampleAverageLogarithm(Double, Gamma)
SampleAverageLogarithm(Gaussian, Double)
SampleAverageLogarithm(Gaussian, Gamma)
netcoreapp2.0
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(typeof(Gaussian), "Sample", new[] { typeof(double), typeof(double) }, Default = true)]
[FactorMethod(new[] { "sample", "mean", "precision" }, typeof(Factor), "Gaussian", new[] { }, Default = true)]
[Quality(QualityBand.Mature)]
public class GaussianOp : GaussianOpBase
{
public static bool modified;
}
}
.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 netcoreapp2.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API