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
{
public static Bernoulli IsBetweenAverageConditional([RequiredArgument] Gaussian X, double lowerBound, double 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