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)
xamarinmac
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 PrecisionAverageLogarithm([Proper] Gaussian sample, double mean);
}
}
.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 xamarinmac | |
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