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)
net5.0
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 TruncatedGaussian UpperBoundAverageConditional([SkipIfUniform] Bernoulli isBetween, [RequiredArgument] Gaussian X, [RequiredArgument] TruncatedGaussian lowerBound, [RequiredArgument] TruncatedGaussian upperBound, double logZ);
}
}
.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 net5.0 | |
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