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| Packages that use EvalParameters | |
|---|---|
| opennlp.maxent | Provides main functionality of the maxent package including data structures and algorithms for parameter estimation. |
| opennlp.model | |
| opennlp.perceptron | |
| Uses of EvalParameters in opennlp.maxent |
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| Methods in opennlp.maxent with parameters of type EvalParameters | |
|---|---|
static double[] |
GISModel.eval(int[] context,
double[] prior,
EvalParameters model)
Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters. |
static double[] |
GISModel.eval(int[] context,
float[] values,
double[] prior,
EvalParameters model)
Use this model to evaluate a context and return an array of the likelihood of each outcome given the specified context and the specified parameters. |
| Uses of EvalParameters in opennlp.model |
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| Fields in opennlp.model declared as EvalParameters | |
|---|---|
protected EvalParameters |
AbstractModel.evalParams
Parameters for the model. |
| Uses of EvalParameters in opennlp.perceptron |
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| Methods in opennlp.perceptron with parameters of type EvalParameters | |
|---|---|
static double[] |
PerceptronModel.eval(int[] context,
double[] prior,
EvalParameters model)
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static double[] |
PerceptronModel.eval(int[] context,
float[] values,
double[] prior,
EvalParameters model,
boolean normalize)
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