Uses of Interface
opennlp.model.DataIndexer

Packages that use DataIndexer
opennlp.maxent Provides main functionality of the maxent package including data structures and algorithms for parameter estimation. 
opennlp.maxent.quasinewton   
opennlp.model   
opennlp.perceptron   
 

Uses of DataIndexer in opennlp.maxent
 

Methods in opennlp.maxent with parameters of type DataIndexer
static GISModel GIS.trainModel(int iterations, DataIndexer indexer)
          Train a model using the GIS algorithm.
static GISModel GIS.trainModel(int iterations, DataIndexer indexer, boolean smoothing)
          Train a model using the GIS algorithm.
static GISModel GIS.trainModel(int iterations, DataIndexer indexer, boolean printMessagesWhileTraining, boolean smoothing, Prior modelPrior, int cutoff)
          Train a model using the GIS algorithm.
static GISModel GIS.trainModel(int iterations, DataIndexer indexer, boolean printMessagesWhileTraining, boolean smoothing, Prior modelPrior, int cutoff, int threads)
          Train a model using the GIS algorithm.
static GISModel GIS.trainModel(int iterations, DataIndexer indexer, Prior modelPrior, int cutoff)
          Train a model using the GIS algorithm with the specified number of iterations, data indexer, and prior.
 

Uses of DataIndexer in opennlp.maxent.quasinewton
 

Methods in opennlp.maxent.quasinewton with parameters of type DataIndexer
 QNModel QNTrainer.trainModel(DataIndexer indexer)
           
 

Constructors in opennlp.maxent.quasinewton with parameters of type DataIndexer
LogLikelihoodFunction(DataIndexer indexer)
           
 

Uses of DataIndexer in opennlp.model
 

Classes in opennlp.model that implement DataIndexer
 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.
 

Uses of DataIndexer in opennlp.perceptron
 

Methods in opennlp.perceptron with parameters of type DataIndexer
 AbstractModel PerceptronTrainer.trainModel(int iterations, DataIndexer di, int cutoff)
           
 AbstractModel PerceptronTrainer.trainModel(int iterations, DataIndexer di, int cutoff, boolean useAverage)
           
 



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