Uses of Interface
opennlp.maxent.DataIndexer

Packages that use DataIndexer

opennlp.maxent

Provides main functionality of the maxent package including data structures and algorithms for parameter estimation.

Uses of DataIndexer in opennlp.maxent

Classes in opennlp.maxent 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.

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, Prior modelPrior, int cutoff) Train a model using the GIS algorithm with the specified number of iterations, data indexer, and prior.