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)
xamarinwatchos
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 Gaussian LowerBoundAverageConditional_Slow([SkipIfUniform] Bernoulli isBetween, [RequiredArgument] Gaussian X, [RequiredArgument] Gaussian lowerBound, [RequiredArgument] 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 xamarinwatchos | |
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