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)
net10.0-windows7.0
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 GetLogAverageOf(ConjugateDirichlet that);
}
}
.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 net10.0 | |
Platforms | This API is only available when you target a specific platform: |
Windows | 7.0 |
Information specific to net10.0-windows7.0 | |
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