Uses of Interface
opennlp.tools.commons.Trainer
Packages that use Trainer
Package
Description
Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
Package related to ML by means of the Maximum Entropy (ME) algorithm.
Package related to ML by means of the Quasi Newton (QN) algorithm.
Package related to ML by means of the Naive Bayes algorithm.
Package related to ML by means of the perceptron algorithm.
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Uses of Trainer in opennlp.tools.ml
Subinterfaces of Trainer in opennlp.tools.mlModifier and TypeInterfaceDescriptioninterface
A specializedTrainer
that is based on a 'EventModelSequence' approach.interface
interface
Classes in opennlp.tools.ml that implement TrainerModifier and TypeClassDescriptionclass
A basicEventModelSequenceTrainer
implementation that processesevents
.class
A basicEventTrainer
implementation.class
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Uses of Trainer in opennlp.tools.ml.maxent
Classes in opennlp.tools.ml.maxent that implement TrainerModifier and TypeClassDescriptionclass
An implementation of Generalized Iterative Scaling (GIS). -
Uses of Trainer in opennlp.tools.ml.maxent.quasinewton
Classes in opennlp.tools.ml.maxent.quasinewton that implement Trainer -
Uses of Trainer in opennlp.tools.ml.naivebayes
Classes in opennlp.tools.ml.naivebayes that implement TrainerModifier and TypeClassDescriptionclass
Trainsmodels
using the combination of EM algorithm and Naive Bayes classifier which is described in: -
Uses of Trainer in opennlp.tools.ml.perceptron
Classes in opennlp.tools.ml.perceptron that implement Trainer