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| 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)
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| Constructors in opennlp.maxent.quasinewton with parameters of type DataIndexer | |
|---|---|
LogLikelihoodFunction(DataIndexer indexer)
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| Uses of DataIndexer in opennlp.model |
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| 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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