## 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`.