Verwendungen von Schnittstelle
opennlp.tools.ml.model.DataIndexer
Packages, die DataIndexer verwenden
Package
Beschreibung
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 models and feature selection techniques.
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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Verwendungen von DataIndexer in opennlp.tools.ml
Methoden in opennlp.tools.ml, die DataIndexer zurückgebenModifizierer und TypMethodeBeschreibungAbstractEventTrainer.getDataIndexer
(ObjectStream<Event> events) Methoden in opennlp.tools.ml mit Parametern vom Typ DataIndexerModifizierer und TypMethodeBeschreibungabstract MaxentModel
AbstractEventTrainer.doTrain
(DataIndexer indexer) final MaxentModel
AbstractEventTrainer.train
(DataIndexer indexer) EventTrainer.train
(DataIndexer indexer) Trains aMaxentModel
for givenevents
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Verwendungen von DataIndexer in opennlp.tools.ml.maxent
Methoden in opennlp.tools.ml.maxent mit Parametern vom Typ DataIndexerModifizierer und TypMethodeBeschreibungGISTrainer.doTrain
(DataIndexer indexer) GISTrainer.trainModel
(int iterations, DataIndexer di) Trains a model using the GIS algorithm.GISTrainer.trainModel
(int iterations, DataIndexer di, int threads) Trains a model using the GIS algorithm.GISTrainer.trainModel
(int iterations, DataIndexer di, Prior modelPrior, int threads) Trains a model using the GIS algorithm. -
Verwendungen von DataIndexer in opennlp.tools.ml.maxent.quasinewton
Methoden in opennlp.tools.ml.maxent.quasinewton mit Parametern vom Typ DataIndexerModifizierer und TypMethodeBeschreibungQNTrainer.doTrain
(DataIndexer indexer) QNTrainer.trainModel
(int iterations, DataIndexer indexer) Trains a model using the QN algorithm.Konstruktoren in opennlp.tools.ml.maxent.quasinewton mit Parametern vom Typ DataIndexerModifiziererKonstruktorBeschreibungNegLogLikelihood
(DataIndexer indexer) ParallelNegLogLikelihood
(DataIndexer indexer, int threads) -
Verwendungen von DataIndexer in opennlp.tools.ml.model
Klassen in opennlp.tools.ml.model, die DataIndexer implementierenModifizierer und TypKlasseBeschreibungclass
AbstractDataIndexer
implementation for collecting event and context counts used in training.class
ADataIndexer
for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.class
ADataIndexer
for 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.class
Collecting event and context counts by making two passes over the events.Methoden in opennlp.tools.ml.model, die DataIndexer zurückgebenModifizierer und TypMethodeBeschreibungstatic DataIndexer
DataIndexerFactory.getDataIndexer
(TrainingParameters parameters, Map<String, String> reportMap) Instantiates aDataIndexer
configured viaTrainingParameters
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Verwendungen von DataIndexer in opennlp.tools.ml.naivebayes
Methoden in opennlp.tools.ml.naivebayes mit Parametern vom Typ DataIndexerModifizierer und TypMethodeBeschreibungNaiveBayesTrainer.doTrain
(DataIndexer indexer) NaiveBayesTrainer.trainModel
(DataIndexer di) Trains aNaiveBayesModel
with given parameters. -
Verwendungen von DataIndexer in opennlp.tools.ml.perceptron
Methoden in opennlp.tools.ml.perceptron mit Parametern vom Typ DataIndexerModifizierer und TypMethodeBeschreibungPerceptronTrainer.doTrain
(DataIndexer indexer) PerceptronTrainer.trainModel
(int iterations, DataIndexer di, int cutoff) Trains aPerceptronModel
with given parameters.PerceptronTrainer.trainModel
(int iterations, DataIndexer di, int cutoff, boolean useAverage) Trains aPerceptronModel
with given parameters.