Uses of Interface
opennlp.tools.ml.model.DataIndexer
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Packages that use DataIndexer Package Description opennlp.tools.ml Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.opennlp.tools.ml.maxent Package related to ML by means of the Maximum Entropy (ME) algorithm.opennlp.tools.ml.maxent.quasinewton Package related to ML by means of the Quasi Newton (QN) algorithm.opennlp.tools.ml.model Package related to ML models and feature selection techniques.opennlp.tools.ml.naivebayes Package related to ML by means of the Naive Bayes algorithm.opennlp.tools.ml.perceptron Package related to ML by means of the perceptron algorithm. -
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Uses of DataIndexer in opennlp.tools.ml
Methods in opennlp.tools.ml that return DataIndexer Modifier and Type Method Description DataIndexerAbstractEventTrainer. getDataIndexer(ObjectStream<Event> events)Methods in opennlp.tools.ml with parameters of type DataIndexer Modifier and Type Method Description abstract MaxentModelAbstractEventTrainer. doTrain(DataIndexer indexer)MaxentModelAbstractEventTrainer. train(DataIndexer indexer)MaxentModelEventTrainer. train(DataIndexer indexer)Trains aMaxentModelfor givenevents. -
Uses of DataIndexer in opennlp.tools.ml.maxent
Methods in opennlp.tools.ml.maxent with parameters of type DataIndexer Modifier and Type Method Description MaxentModelGISTrainer. doTrain(DataIndexer indexer)GISModelGISTrainer. trainModel(int iterations, DataIndexer di)Trains a model using the GIS algorithm.GISModelGISTrainer. trainModel(int iterations, DataIndexer di, int threads)Trains a model using the GIS algorithm.GISModelGISTrainer. trainModel(int iterations, DataIndexer di, Prior modelPrior, int threads)Trains a model using the GIS algorithm. -
Uses of DataIndexer in opennlp.tools.ml.maxent.quasinewton
Methods in opennlp.tools.ml.maxent.quasinewton with parameters of type DataIndexer Modifier and Type Method Description AbstractModelQNTrainer. doTrain(DataIndexer indexer)QNModelQNTrainer. trainModel(int iterations, DataIndexer indexer)Trains a model using the QN algorithm.Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type DataIndexer Constructor Description NegLogLikelihood(DataIndexer indexer)ParallelNegLogLikelihood(DataIndexer indexer, int threads) -
Uses of DataIndexer in opennlp.tools.ml.model
Classes in opennlp.tools.ml.model that implement DataIndexer Modifier and Type Class Description classAbstractDataIndexerAbstractDataIndexerimplementation for collecting event and context counts used in training.classOnePassDataIndexerADataIndexerfor maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.classOnePassRealValueDataIndexerADataIndexerfor maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.classTwoPassDataIndexerCollecting event and context counts by making two passes over the events.Methods in opennlp.tools.ml.model that return DataIndexer Modifier and Type Method Description static DataIndexerDataIndexerFactory. getDataIndexer(TrainingParameters parameters, Map<String,String> reportMap)Instantiates aDataIndexerconfigured viaTrainingParameters. -
Uses of DataIndexer in opennlp.tools.ml.naivebayes
Methods in opennlp.tools.ml.naivebayes with parameters of type DataIndexer Modifier and Type Method Description AbstractModelNaiveBayesTrainer. doTrain(DataIndexer indexer)AbstractModelNaiveBayesTrainer. trainModel(DataIndexer di)Trains aNaiveBayesModelwith given parameters. -
Uses of DataIndexer in opennlp.tools.ml.perceptron
Methods in opennlp.tools.ml.perceptron with parameters of type DataIndexer Modifier and Type Method Description AbstractModelPerceptronTrainer. doTrain(DataIndexer indexer)AbstractModelPerceptronTrainer. trainModel(int iterations, DataIndexer di, int cutoff)Trains aPerceptronModelwith given parameters.AbstractModelPerceptronTrainer. trainModel(int iterations, DataIndexer di, int cutoff, boolean useAverage)Trains aPerceptronModelwith given parameters.
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