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)
net461
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 Gamma PrecisionAverageConditional_Point(double ym, double yv, double precision);
}
}
.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 net461 | |
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