Uses of Class
opennlp.tools.ml.model.EvalParameters
Packages that use EvalParameters
Package
Description
Package related to ML by means of the Maximum Entropy (ME) algorithm.
Package related to ML models and feature selection techniques.
Package related to ML by means of the Naive Bayes algorithm.
Package related to ML by means of the perceptron algorithm.
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Uses of EvalParameters in opennlp.tools.ml.maxent
Methods in opennlp.tools.ml.maxent with parameters of type EvalParametersModifier and TypeMethodDescriptionstatic double[]
GISModel.eval
(int[] context, double[] prior, EvalParameters model) Evaluates 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.tools.ml.model
Fields in opennlp.tools.ml.model declared as EvalParametersModifier and TypeFieldDescriptionprotected EvalParameters
AbstractModel.evalParams
Parameters for the model. -
Uses of EvalParameters in opennlp.tools.ml.naivebayes
Subclasses of EvalParameters in opennlp.tools.ml.naivebayesModifier and TypeClassDescriptionclass
Specializedparameters
for the evaluation of a naive bayes classifierMethods in opennlp.tools.ml.naivebayes with parameters of type EvalParametersModifier and TypeMethodDescriptionstatic double[]
NaiveBayesModel.eval
(int[] context, double[] prior, EvalParameters model) Evaluates aNaiveBayesModel
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Uses of EvalParameters in opennlp.tools.ml.perceptron
Methods in opennlp.tools.ml.perceptron with parameters of type EvalParametersModifier and TypeMethodDescriptionstatic double[]
PerceptronModel.eval
(int[] context, double[] prior, EvalParameters model) Evaluates aPerceptronModel
.