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 TypeInterfaceDescriptioninterfaceA specializedTrainerthat is based on a 'EventModelSequence' approach.interfaceinterfaceClasses in opennlp.tools.ml that implement TrainerModifier and TypeClassDescriptionclassA basicEventModelSequenceTrainerimplementation that processesevents.classA basicEventTrainerimplementation.class -
Uses of Trainer in opennlp.tools.ml.maxent
Classes in opennlp.tools.ml.maxent that implement TrainerModifier and TypeClassDescriptionclassAn 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 TypeClassDescriptionclassTrainsmodelsusing 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