Uses of Interface
opennlp.tools.ml.model.DataIndexer
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Packages that use DataIndexer Package Description opennlp.tools.ml opennlp.tools.ml.maxent Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.opennlp.tools.ml.maxent.quasinewton opennlp.tools.ml.model opennlp.tools.ml.naivebayes opennlp.tools.ml.perceptron -
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Uses of DataIndexer in opennlp.tools.ml
Methods in opennlp.tools.ml that return DataIndexer Modifier and Type Method Description DataIndexer
AbstractEventTrainer. getDataIndexer(ObjectStream<Event> events)
Methods in opennlp.tools.ml with parameters of type DataIndexer Modifier and Type Method Description abstract MaxentModel
AbstractEventTrainer. doTrain(DataIndexer indexer)
MaxentModel
AbstractEventTrainer. train(DataIndexer indexer)
MaxentModel
EventTrainer. train(DataIndexer indexer)
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Uses of DataIndexer in opennlp.tools.ml.maxent
Methods in opennlp.tools.ml.maxent with parameters of type DataIndexer Modifier and Type Method Description MaxentModel
GISTrainer. doTrain(DataIndexer indexer)
GISModel
GISTrainer. trainModel(int iterations, DataIndexer di)
Train a model using the GIS algorithm.GISModel
GISTrainer. trainModel(int iterations, DataIndexer di, int threads)
Train a model using the GIS algorithm.GISModel
GISTrainer. trainModel(int iterations, DataIndexer di, Prior modelPrior, int threads)
Train 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 AbstractModel
QNTrainer. doTrain(DataIndexer indexer)
QNModel
QNTrainer. trainModel(int iterations, DataIndexer indexer)
Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type DataIndexer Constructor Description NegLogLikelihood(DataIndexer indexer)
ParallelNegLogLikelihood(DataIndexer indexer, int threads)
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Uses of DataIndexer in opennlp.tools.ml.model
Classes in opennlp.tools.ml.model that implement DataIndexer Modifier and Type Class Description class
AbstractDataIndexer
Abstract class for collecting event and context counts used in training.class
OnePassDataIndexer
An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.class
OnePassRealValueDataIndexer
An indexer 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
TwoPassDataIndexer
Collecting 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 DataIndexer
DataIndexerFactory. getDataIndexer(TrainingParameters parameters, Map<String,String> reportMap)
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Uses of DataIndexer in opennlp.tools.ml.naivebayes
Methods in opennlp.tools.ml.naivebayes with parameters of type DataIndexer Modifier and Type Method Description AbstractModel
NaiveBayesTrainer. doTrain(DataIndexer indexer)
AbstractModel
NaiveBayesTrainer. trainModel(DataIndexer di)
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Uses of DataIndexer in opennlp.tools.ml.perceptron
Methods in opennlp.tools.ml.perceptron with parameters of type DataIndexer Modifier and Type Method Description AbstractModel
PerceptronTrainer. doTrain(DataIndexer indexer)
AbstractModel
PerceptronTrainer. trainModel(int iterations, DataIndexer di, int cutoff)
AbstractModel
PerceptronTrainer. trainModel(int iterations, DataIndexer di, int cutoff, boolean useAverage)
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