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)
netcoreapp2.0
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
{
[Stochastic]
public static Vector Sample(Vector pseudoCount, Vector result);
}
}
.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 netcoreapp2.0 | |
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 framework does not have platform annotations. |
- Built-in API
- Package-provided API