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)
net462
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 Vector GetMeanLog(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 net462 | |
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