GammaFromShapeAndRateOpBase
GammaFromShapeAndRateOpBase()- AverageLogFactor(Double, Double, Double)
- AverageLogFactor(Gamma, Double, Double)
- AverageLogFactor(Gamma, Gamma, Gamma)
- CalculateDerivatives(Gamma)
- CalculateDerivativesNaive(Gamma)
- CalculateDerivativesTrapezoid(Gamma)
- ELogGamma(Gamma)
- LogAverageFactor(Gamma, Gamma)
- LogAverageFactor(Double, Double, Double)
- LogAverageFactor(Double, Double, Gamma)
- LogAverageFactor(Double, Gamma, Double)
- LogAverageFactor(Double, Gamma, Gamma)
- LogAverageFactor(Gamma, Double, Double)
- LogAverageFactor(Gamma, Gamma, Double)
- LogAverageFactor(Gamma, Gamma, Gamma)
- LogEvidenceRatio(Double, Double, Double)
- LogEvidenceRatio(Double, Double, Gamma)
- LogEvidenceRatio(Gamma, Double, Double)
- RateAverageConditional(Double, Double)
- RateAverageConditional(Gamma, Gamma)
- RateAverageLogarithm(Double, Double)
- RateAverageLogarithm(Double, Gamma)
- RateAverageLogarithm(Gamma, Double)
- RateAverageLogarithm(Gamma, Gamma)
- SampleAverageConditional(Double, Double)
- SampleAverageConditional(Gamma, Double)
- SampleAverageConditional(Gamma, Gamma)
- SampleAverageConditionalInit()
- SampleAverageLogarithm(Double, Double)
- SampleAverageLogarithm(Double, Gamma)
- SampleAverageLogarithm(Gamma, Double)
- SampleAverageLogarithm(Gamma, Gamma)
- ShapeAverageConditional(Double, Gamma, Double, Gamma)
- ShapeAverageConditional(Double, Gamma, Gamma, Gamma)
- ShapeAverageConditional(Gamma, Gamma, Double, Gamma)
- ShapeAverageConditional(Gamma, Gamma, Gamma, Gamma)
- ShapeAverageLogarithm(Gamma, Gamma, Gamma, Gamma)
monoandroid
namespace Microsoft.ML.Probabilistic.Factors
{
public class GammaFromShapeAndRateOpBase
{
[NotSupported("Expectation Propagation does not support Gamma variables with stochastic shape")]
public static double LogAverageFactor(double sample, [SkipIfUniform] Gamma shape, [SkipIfUniform] Gamma rate);
}
}
| .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 monoandroid | |
| 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