Uses of Class
cc.mallet.types.Dirichlet

Packages that use Dirichlet

cc.mallet.pipe.iterator	Classes that generate instances from different kinds of input or data structures.
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of Dirichlet in cc.mallet.pipe.iterator

Constructors in cc.mallet.pipe.iterator with parameters of type Dirichlet

RandomFeatureVectorIterator(Randoms r, Dirichlet classCentroidDistribution, double classCentroidAvergeAlphaMean, double classCentroidAvergeAlphaVariance, double featureVectorSizePoissonLambda, double classInstanceCountPoissonLamba, java.lang.String[] classNames)

RandomTokenSequenceIterator(Randoms r, Dirichlet classCentroidDistribution, double classCentroidAvergeAlphaMean, double classCentroidAvergeAlphaVariance, double featureVectorSizePoissonLambda, double classInstanceCountPoissonLamba, java.lang.String[] classNames)

Uses of Dirichlet in cc.mallet.types

Methods in cc.mallet.types that return Dirichlet

abstract Dirichlet	Dirichlet.Estimator.estimate()
Dirichlet	Dirichlet.MethodOfMomentsEstimator.estimate()
Dirichlet	Dirichlet.randomDirichlet(Randoms r, double averageAlpha)

Methods in cc.mallet.types with parameters of type Dirichlet

double	Dirichlet.absoluteDifference(Dirichlet other) Compute the L1 residual between two dirichlets
double	Dirichlet.squaredDifference(Dirichlet other) Compute the L2 residual between two dirichlets

Constructors in cc.mallet.types with parameters of type Dirichlet

InstanceList(Randoms r, Dirichlet classCentroidDistribution, double classCentroidAverageAlphaMean, double classCentroidAverageAlphaVariance, double featureVectorSizePoissonLambda, double classInstanceCountPoissonLambda, java.lang.String[] classNames)
Creates a list consisting of randomly-generated FeatureVectors.

Multinomial.MAPEstimator(Dirichlet d)