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)
net6.0-windows
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, [Proper] Gaussian 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 net6.0 | |
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 API is supported on all platforms. |
- Built-in API
- Package-provided API