Uses of Class
opennlp.maxent.GISModel

Packages that use GISModel

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

Uses of GISModel in opennlp.maxent

Methods in opennlp.maxent that return GISModel

Modifier and Type	Method and Description
static GISModel	GIS.trainModel(opennlp.model.EventStream eventStream) Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
static GISModel	GIS.trainModel(opennlp.model.EventStream eventStream, boolean smoothing) Train a model using the GIS algorithm, assuming 100 iterations and no cutoff.
static GISModel	GIS.trainModel(opennlp.model.EventStream eventStream, int iterations, int cutoff) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(opennlp.model.EventStream eventStream, int iterations, int cutoff, boolean smoothing, boolean printMessagesWhileTraining) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(opennlp.model.EventStream eventStream, int iterations, int cutoff, double sigma) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(int iterations, opennlp.model.DataIndexer indexer) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(int iterations, opennlp.model.DataIndexer indexer, boolean smoothing) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(int iterations, opennlp.model.DataIndexer indexer, boolean printMessagesWhileTraining, boolean smoothing, opennlp.model.Prior modelPrior, int cutoff) Train a model using the GIS algorithm.
static GISModel	GIS.trainModel(int iterations, opennlp.model.DataIndexer indexer, opennlp.model.Prior modelPrior, int cutoff) Train a model using the GIS algorithm with the specified number of iterations, data indexer, and prior.