|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use GISModel | |
---|---|
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 | |
---|---|
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. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |