Dirichlet
AllowImproperSum
PseudoCount
TotalCount
Dirichlet(Dirichlet)
Dirichlet(Double[])
Dirichlet(Int32)
Dirichlet(Vector)
Dirichlet(Int32, Double)
Dirichlet(Int32, Sparsity)
Dirichlet(Int32, Double, Sparsity)
Dimension
IsPointMass
Point
Sparsity
Clone()
DirichletLn(Vector)
Equals(Object)
EstimateNewton(Vector, Vector)
FromMeanLog(Vector)
GetAverageLog(Dirichlet)
GetHashCode()
GetLogAverageOf(Dirichlet)
GetLogAverageOfPower(Dirichlet, Double)
GetLogNormalizer()
GetLogProb(Vector)
GetMean()
GetMean(Vector)
GetMeanAndVariance(Vector, Vector)
GetMeanCube()
GetMeanLog()
GetMeanLog(Vector)
GetMeanLogAt(Int32)
GetMeanSquare()
GetMode()
GetMode(Vector)
GetVariance()
IsProper()
IsUniform()
MaxDiff(Object)
PointMass(Double[])
PointMass(Vector)
Sample()
Sample(Vector)
Sample(Vector, Vector)
SampleFromPseudoCounts(Vector)
SetDerivatives(Vector, Vector, Vector, Boolean)
SetMeanAndMeanSquare(Vector, Vector)
SetMeanAndVariance(Vector, Vector)
SetMeanLog(Vector)
SetTo(Dirichlet)
SetToPower(Dirichlet, Double)
SetToProduct(Dirichlet, Dirichlet)
SetToRatio(Dirichlet, Dirichlet, Boolean)
SetToSum(Double, Dirichlet, Double, Dirichlet)
SetToUniform()
Symmetric(Int32, Double)
Symmetric(Int32, Double, Sparsity)
ToString()
ToString(String)
ToString(String, String)
Uniform(Int32)
Uniform(Int32, Sparsity)
WeightedSum<T>(T, Int32, Double, T, Double, T, Sparsity)
operator *(Dirichlet, Dirichlet)
operator /(Dirichlet, Dirichlet)
operator ^(Dirichlet, Double)
xamarinios
namespace Microsoft.ML.Probabilistic.Distributions
{
[DataContract]
[Quality(QualityBand.Mature)]
public class Dirichlet : CanGetAverageLog<Dirichlet>, CanGetLogAverageOf<Dirichlet>, CanGetLogAverageOfPower<Dirichlet>, CanGetLogNormalizer, CanGetLogProb<Vector>, CanGetMean<Vector>, CanGetMeanAndVariance<Vector, Vector>, CanGetMode<Vector>, CanGetVariance<Vector>, CanSetMeanAndVariance<Vector, Vector>, HasPoint<Vector>, IDistribution, IDistribution<Vector>, Sampleable<Vector>, SettableToUniform, Diffable, SettableTo<Dirichlet>, SettableToPower<Dirichlet>, SettableToProduct<Dirichlet>, SettableToProduct<Dirichlet, Dirichlet>, SettableToRatio<Dirichlet>, SettableToRatio<Dirichlet, Dirichlet>, SettableToWeightedSum<Dirichlet>, ICloneable
{
public double GetLogNormalizer();
}
}
.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 xamarinios | |
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