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)
xamarinmac
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 void GetShapeAndScale(out double shape, out double scale);
}
}
.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 xamarinmac | |
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