MaxGaussianOp
ForceProper
AAverageConditional(Double, Gaussian, Double)
AAverageConditional(Double, Gaussian, Gaussian)
AAverageConditional(Gaussian, Gaussian, Double)
AAverageConditional(Gaussian, Gaussian, Gaussian)
AverageLogFactor(Double, Double, Double)
BAverageConditional(Double, Double, Gaussian)
BAverageConditional(Double, Gaussian, Gaussian)
BAverageConditional(Gaussian, Double, Gaussian)
BAverageConditional(Gaussian, Gaussian, Gaussian)
LogAverageFactor(Double, Double, Double)
LogAverageFactor(Double, Double, Gaussian)
LogAverageFactor(Double, Gaussian, Double)
LogAverageFactor(Double, Gaussian, Gaussian)
LogAverageFactor(Gaussian, Double, Gaussian)
LogAverageFactor(Gaussian, Gaussian, Double)
LogAverageFactor(Gaussian, Gaussian, Gaussian)
LogEvidenceRatio(Double, Double, Double)
LogEvidenceRatio(Double, Double, Gaussian)
LogEvidenceRatio(Double, Gaussian, Double)
LogEvidenceRatio(Double, Gaussian, Gaussian)
LogEvidenceRatio(Gaussian, Double, Gaussian)
LogEvidenceRatio(Gaussian, Gaussian, Double)
LogEvidenceRatio(Gaussian, Gaussian, Gaussian)
MaxAverageConditional(Gaussian, Double, Gaussian)
MaxAverageConditional(Gaussian, Gaussian, Double)
MaxAverageConditional(Gaussian, Gaussian, Gaussian)
MaxAverageConditionalInit()
xamarinios
namespace Microsoft.ML.Probabilistic.Factors
{
[FactorMethod(new[] { "max", "a", "b" }, typeof(Math), "Max", new[] { typeof(double), typeof(double) })]
[Quality(QualityBand.Stable)]
public static class MaxGaussianOp
{
public static bool ForceProper;
}
}
.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 xamarinios | |
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