ConjugateDirichlet
ApproximationMethod
approximationMethod- D
- K
- Rate
- Shape
ConjugateDirichlet(ConjugateDirichlet)- ConjugateDirichlet(Double, Double, Double, Double)
IsPointMass- Point
- Clone()
- Equals(Object)
- FromMeanAndMeanLog(Double, Double)
- FromMeanAndVariance(Double, Double)
- FromNatural(Double, Double, Double, Double)
- FromShapeAndRate(Double, Double)
- FromShapeAndScale(Double, Double)
- GammaApproximation()
- GetAverageLog(ConjugateDirichlet)
- GetHashCode()
- GetLogAverageOf(ConjugateDirichlet)
- GetLogAverageOfPower(ConjugateDirichlet, Double)
- GetLogNormalizer()
- GetLogProb(Double)
- GetLogProb(Double, Double, Double, Double, Double)
- GetMean()
- GetMeanAndVariance(Double, Double)
- GetMeanInverse()
- GetMeanLog()
- GetMeanLogGamma(Double)
- GetMeanPower(Double)
- GetMode()
- GetScale()
- GetShapeAndScale(Double, Double)
- GetUnnormalisedLogProb(Double)
- GetVariance()
- IsProper()
- IsProper(Double, Double)
- IsUniform()
- MaxDiff(Object)
- Newton1DMaximise(Double, Converter<Double, Double>, Converter<Double, Double>, Converter<Double, Double>)
- PointMass(Double)
- Sample()
- Sample(Double)
- Sample(Double, Double)
- SampleFromMeanAndVariance(Double, Double)
- SetMeanAndVariance(Double, Double)
- SetNatural(Double, Double, Double, Double)
- SetShapeAndRate(Double, Double)
- SetShapeAndScale(Double, Double)
- SetTo(ConjugateDirichlet)
- SetToPower(ConjugateDirichlet, Double)
- SetToProduct(ConjugateDirichlet, ConjugateDirichlet)
- SetToRatio(ConjugateDirichlet, ConjugateDirichlet, Boolean)
- SetToSum(Double, ConjugateDirichlet, Double, ConjugateDirichlet)
- SetToUniform()
- SmartProposal(Double, Double)
- ToString()
- Uniform()
operator !=(ConjugateDirichlet, ConjugateDirichlet)- operator *(ConjugateDirichlet, ConjugateDirichlet)
- operator /(ConjugateDirichlet, ConjugateDirichlet)
- operator ^(ConjugateDirichlet, Double)
- operator ==(ConjugateDirichlet, ConjugateDirichlet)
net9.0
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Experimental)]
public struct ConjugateDirichlet : CanGetAverageLog<ConjugateDirichlet>, CanGetLogAverageOf<ConjugateDirichlet>, CanGetLogAverageOfPower<ConjugateDirichlet>, CanGetLogNormalizer, CanGetLogProb<double>, CanGetMean<double>, CanGetMeanAndVarianceOut<double, double>, CanGetVariance<double>, CanSetMeanAndVariance<double, double>, HasPoint<double>, IDistribution, IDistribution<double>, Sampleable<double>, SettableToUniform, Diffable, SettableTo<ConjugateDirichlet>, SettableToPower<ConjugateDirichlet>, SettableToProduct<ConjugateDirichlet>, SettableToProduct<ConjugateDirichlet, ConjugateDirichlet>, SettableToRatio<ConjugateDirichlet>, SettableToRatio<ConjugateDirichlet, ConjugateDirichlet>, SettableToWeightedSum<ConjugateDirichlet>, ICloneable
{
public double GetVariance();
}
}
| .NET | 5.06.07.08.09.0 |
|---|---|
| .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 net9.0 | |
| 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