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)
net5.0
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
{
public void SetDerivatives(Vector x, Vector dLogP, Vector ddLogP, bool forceProper);
}
}
.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 net5.0 | |
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