Example usage for weka.attributeSelection ASEvaluation forName

Introduction

In this page you can find the example usage for weka.attributeSelection ASEvaluation forName.

Prototype

public static ASEvaluation forName(String evaluatorName, String[] options) throws Exception 

Source Link

Document

Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.

Usage

From source file:com.rapidminer.operator.features.weighting.GenericWekaAttributeWeighting.java

License:Open Source License

/**
 * Returns the Weka attribute evaluator based on the subtype of this
 * operator.// w  w w .  java  2 s  .c  o m
 */
private ASEvaluation getWekaAttributeEvaluator(String prefixName, String[] parameters)
        throws OperatorException {
    String actualName = prefixName.substring(WekaTools.WEKA_OPERATOR_PREFIX.length());
    String evaluatorName = null;
    for (int i = 0; i < WEKA_ATTRIBUTE_EVALUATORS.length; i++) {
        if (WEKA_ATTRIBUTE_EVALUATORS[i].endsWith(actualName)) {
            evaluatorName = WEKA_ATTRIBUTE_EVALUATORS[i];
            break;
        }
    }
    ASEvaluation evaluator = null;
    try {
        evaluator = (ASEvaluation) ASEvaluation.forName(evaluatorName, parameters);
    } catch (Exception e) {
        throw new UserError(this, e, 904, new Object[] { evaluatorName, e });
    }
    return evaluator;
}

---

From source file:mlflex.WekaInMemoryLearner.java

License:Open Source License

private static ASEvaluation GetAttributeEvaluator(ArrayList<String> algorithmParameters) throws Exception {
    return ASEvaluation.forName(algorithmParameters.get(0), algorithmParameters.get(1).split(" "));
}

---