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)
xamarinwatchos
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 int QuadratureNodeCount;
}
}
.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 xamarinwatchos | |
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