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)
net6.0-windows
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 GetLogAverageOfPower(Dirichlet that, double power);
}
}
.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 net6.0 | |
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