IsBetweenGaussianOp
ForceProper
LargeMeanThreshold
LowPrecisionThreshold
TraceAlpha
AverageLogFactor(Boolean, Gaussian, Double, Double, Gaussian)
IsBetweenAverageConditional(Gaussian, Double, Double)
IsBetweenAverageConditional(Gaussian, Gaussian, Gaussian)
IsBetweenAverageLogarithm(Gaussian, Gaussian, Gaussian)
LogAverageFactor(Bernoulli, Gaussian, Double, Double)
LogAverageFactor(Bernoulli, Gaussian, Gaussian, Gaussian)
LogAverageFactor(Boolean, Gaussian, Double, Double)
LogEvidenceRatio(Bernoulli, Gaussian, Double, Double)
LogEvidenceRatio(Bernoulli, Gaussian, Gaussian, Gaussian)
LogEvidenceRatio(Bernoulli, Gaussian, TruncatedGaussian, TruncatedGaussian)
LogEvidenceRatio(Boolean, Gaussian, Double, Double)
LogEvidenceRatio(Boolean, Gaussian, TruncatedGaussian, TruncatedGaussian)
LogEvidenceRatio(Boolean, Gaussian, Gaussian, Gaussian, Double)
LogProbBetween(Gaussian, Double, Double)
LogProbBetween(Gaussian, Gaussian, Gaussian)
LogZ(Bernoulli, Gaussian, Gaussian, Gaussian)
LogZ(Bernoulli, Gaussian, TruncatedGaussian, TruncatedGaussian)
LowerBoundAverageConditional_Slow(Bernoulli, Gaussian, Gaussian, Gaussian)
LowerBoundAverageConditional(Boolean, Double)
LowerBoundAverageConditional(Bernoulli, Gaussian, Gaussian, Gaussian, Double)
LowerBoundAverageConditional(Bernoulli, Gaussian, TruncatedGaussian, TruncatedGaussian, Double)
LowerBoundAverageLogarithm()
LowerBoundAverageLogarithm(Bernoulli, Gaussian, Gaussian, Gaussian)
NormalCdfRatioSqrMinusDerivative(Double, Double, Double, Double)
UpperBoundAverageConditional_Slow(Bernoulli, Gaussian, Gaussian, Gaussian)
UpperBoundAverageConditional(Boolean, Double)
UpperBoundAverageConditional(Bernoulli, Gaussian, Gaussian, Gaussian, Double)
UpperBoundAverageConditional(Bernoulli, Gaussian, TruncatedGaussian, TruncatedGaussian, Double)
UpperBoundAverageLogarithm()
UpperBoundAverageLogarithm(Bernoulli, Gaussian, Gaussian, Gaussian)
XAverageConditional_Slow(Bernoulli, Gaussian, Gaussian, Gaussian)
XAverageConditional(Bernoulli, Gaussian, Double, Double)
XAverageConditional(Bernoulli, Gaussian, TruncatedGaussian, TruncatedGaussian)
XAverageConditional(Boolean, Gaussian, Double, Double)
XAverageConditional(Bernoulli, Gaussian, Gaussian, Gaussian, Double)
XAverageLogarithm(Bernoulli, Gaussian, Gaussian, Gaussian)
XAverageLogarithm(Boolean, Gaussian, Double, Double, Gaussian)
netstandard2.0
namespace Microsoft.ML.Probabilistic.Factors
{
[Buffers(new[] { "logZ" })]
[FactorMethod(typeof(Factor), "IsBetween", new[] { typeof(double), typeof(double), typeof(double) }, Default = true)]
[Quality(QualityBand.Mature)]
public static class IsBetweenGaussianOp
{
public static double LogEvidenceRatio(bool isBetween, [RequiredArgument] Gaussian X, TruncatedGaussian lowerBound, TruncatedGaussian upperBound);
}
}
.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 netstandard2.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API