Example usage for weka.attributeSelection CfsSubsetEval setLocallyPredictive

Introduction

In this page you can find the example usage for weka.attributeSelection CfsSubsetEval setLocallyPredictive.

Prototype

public void setLocallyPredictive(boolean b) 

Source Link

Document

Include locally predictive attributes

Usage

From source file:RunBestFirstSearch.java

License:Open Source License

protected static void runAttributeSelection(Instances data, int n) throws Exception {
    AttributeSelection attsel = new AttributeSelection();
    CfsSubsetEval cost_function = new CfsSubsetEval(); // CFS cost function.
    BestFirst algorithm = new BestFirst(); // BFS algorithm.

    cost_function.buildEvaluator(data);//from   w w w  .ja  va 2 s.  c o  m

    algorithm.setLookupCacheSize(n);

    // BFS with forward direction and terminating search after five
    // non-improving nodes.
    //
    String[] parameters = { "-D 1", "-N 5" };

    algorithm.setOptions(parameters);

    cost_function.setLocallyPredictive(false);

    attsel.setEvaluator(cost_function);
    attsel.setSearch(algorithm);

    attsel.SelectAttributes(data);

    int[] indices = attsel.selectedAttributes();

    System.out.println("Selected features:\n" + Utils.arrayToString(indices));
}

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