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)
net6.0-windows
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
{
[NotSupported("Variational Message Passing does not support the IsBetween factor with Gaussian distributions, since the factor is not conjugate to the Gaussian.")]
public static Gaussian UpperBoundAverageLogarithm(Bernoulli isBetween, Gaussian X, Gaussian lowerBound, Gaussian 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 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