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| Packages that use Prior | |
|---|---|
| opennlp.maxent | Provides main functionality of the maxent package including data structures and algorithms for parameter estimation. |
| opennlp.model | |
| Uses of Prior in opennlp.maxent |
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| Methods in opennlp.maxent with parameters of type Prior | |
|---|---|
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. |
| Constructors in opennlp.maxent with parameters of type Prior | |
|---|---|
GISModel(Context[] params,
String[] predLabels,
String[] outcomeNames,
int correctionConstant,
double correctionParam,
Prior prior)
Creates a new model with the specified parameters, outcome names, and predicate/feature labels. |
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| Uses of Prior in opennlp.model |
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| Classes in opennlp.model that implement Prior | |
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class |
UniformPrior
Provide a maximum entropy model with a uniform prior. |
| Fields in opennlp.model declared as Prior | |
|---|---|
protected Prior |
AbstractModel.prior
Prior distribution for this model. |
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