# Uses of Class
opennlp.tools.ml.model.EvalParameters

Packages that use EvalParameters
Package
Description
opennlp.tools.ml.maxent
Package related to ML by means of the Maximum Entropy (ME) algorithm.
opennlp.tools.ml.model
Package related to ML models and feature selection techniques.
opennlp.tools.ml.naivebayes
Package related to ML by means of the Naive Bayes algorithm.
opennlp.tools.ml.perceptron
Package related to ML by means of the perceptron algorithm.

- ## Uses of EvalParameters in opennlp.tools.ml.maxent

  Methods in opennlp.tools.ml.maxent with parameters of type EvalParameters
  Modifier and Type
  Method
  Description
  `static 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 EvalParameters
  Modifier and Type
  Field
  Description
  `protected EvalParameters`
  AbstractModel.`evalParams`
  Parameters for the model.

- ## Uses of EvalParameters in opennlp.tools.ml.naivebayes

  Subclasses of EvalParameters in opennlp.tools.ml.naivebayes
  Modifier and Type
  Class
  Description
  `class`
  `NaiveBayesEvalParameters`
  Specialized `parameters` for the evaluation of a naive bayes classifier
  Methods in opennlp.tools.ml.naivebayes with parameters of type EvalParameters
  Modifier and Type
  Method
  Description
  `static double[]`
  NaiveBayesModel.`eval(int[] context, double[] prior, EvalParameters model)`
  Evaluates a `NaiveBayesModel`.

- ## Uses of EvalParameters in opennlp.tools.ml.perceptron

  Methods in opennlp.tools.ml.perceptron with parameters of type EvalParameters
  Modifier and Type
  Method
  Description
  `static double[]`
  PerceptronModel.`eval(int[] context, double[] prior, EvalParameters model)`
  Evaluates a `PerceptronModel`.