/* -------------------------------------------------------------------------- */
/*                                                                            */
/*                        DECISION TREE (RANDOM)                              */
/*                                                                            */
/*                            Frans Coenen                                    */
/*                                                                            */
/*                        Tuesday 20 November 2007                            */
/*                                                                            */
/*                    Department of Computer Science                          */
/*                     The University of Liverpool                            */
/*                                                                            */
/* -------------------------------------------------------------------------- */

/* Generates a decision tree using most frterquent attribute selection as a the
splitting criteria.            */

//package lucsKDD_ARM;

/** decision tree classifier generator (inforamtion gain).
@author Frans Coenen
@version 20 November 2007 */

public class DecTreeRandom extends DecisionTree {

    /* ------ CONSTRUCTORS ------ */

    /** Constructor with command line arguments to be process.
    @param args the command line arguments (array of String instances). */

    public DecTreeRandom(String[] args) {
	super(args);
	}

    /* ------ METHODS ------ */

    /** Selects attribute from attribute list on which to split (stub).  
    @param attributeList the cuttent list of attrbutes.
    @param exampleList the currebt list of examples.
    @return the attribute index of the selected attribute. */

    protected int selectAttribute(short[] attributeList, int[] exampleList) {
       return(0);
       }
    }