Package | Description |
---|---|
opennlp.maxent |
Provides main functionality of the maxent package including data structures and
algorithms for parameter estimation.
|
opennlp.tools.namefind |
Package related to finding proper names and numeric amounts.
|
Modifier and Type | Method and Description |
---|---|
static GISModel |
GIS.trainModel(EventStream eventStream)
Train a model using the GIS algorithm, assuming 100 iterations and no
cutoff.
|
static GISModel |
GIS.trainModel(EventStream eventStream,
boolean smoothing)
Train a model using the GIS algorithm, assuming 100 iterations and no
cutoff.
|
static GISModel |
GIS.trainModel(EventStream eventStream,
int iterations,
int cutoff)
Train a model using the GIS algorithm.
|
static GISModel |
GIS.trainModel(EventStream eventStream,
int iterations,
int cutoff,
boolean smoothing,
boolean printMessagesWhileTraining)
Train a model using the GIS algorithm.
|
static GISModel |
GIS.trainModel(EventStream eventStream,
int iterations,
int cutoff,
double sigma)
Train a model using the GIS algorithm.
|
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.
|
Modifier and Type | Method and Description |
---|---|
static GISModel |
NameFinderME.train(EventStream es,
int iterations,
int cut)
Deprecated.
|
Copyright © 2017 The Apache Software Foundation. All rights reserved.