package nb;import shared.InstanceList;import shared.LogOptions;/** NDriver is provided as an example. This class creates and runs the  * NaiveBayes Inducer for the specified options.   * Usage: java NDriver filename [options]  * Options:  *       l - if present NB uses Laplace Correction; default is off;   *       ep - if present Evidence Project is used; default is off;  *       mest=# - the m estimate factor used in NB is set to #; default is 1.0;*/public class NDriver {
  /** an internal identifier used to find command line options. */   public static final String useLaplaceToggle = new String("l");
  /** an internal identifier used to find command line options. */   public static final String useEvidenceProjectionToggle = new String("ep");
  /** an internal identifier used to find command line options. */   public static final String mEstimateFactorChip = new String("mest=");  /** the main method which creates the NB inducer and prints the error.    * @param args - an array with the command line arguments.    */   public static void main(String[] args) {    NaiveBayesInd nbi = new NaiveBayesInd("NaiveBayesInd");      nbi.set_log_options(new LogOptions("INDUCER"));      nbi.set_m_estimate_factor(1.0);    String[] toggles;    if(args.length > 1) {      toggles = new String[args.length - 1];       for (int i = 1; i < args.length; i++) {        if (args[i].toLowerCase().equals(useLaplaceToggle)) {          nbi.set_use_laplace(true);        }        if (args[i].toLowerCase().equals(useEvidenceProjectionToggle)) {          nbi.set_use_evidence_projection(true);        }        if (args[i].length() >= 5) {          if (args[i].substring(0,5).toLowerCase().equals(mEstimateFactorChip) ) {            double xyz = Double.parseDouble(args[i].substring(5));             nbi.set_m_estimate_factor(xyz);          }        }      }    }      System.out.println(" . . . . . . . . . . . . Options Set");

    InstanceList traindata = new InstanceList(args[0],".names",".data");
    InstanceList testdata = new InstanceList(args[0],".names",".test");

    System.out.println("Error for "+args[0]+" is "+nbi.train_and_test(traindata, testdata));
    System.out.println("  Use Laplace Correction :    " + nbi.get_use_laplace());
    System.out.println("  Use Evidence Projection:    " + nbi.get_use_evidence_projection());
    System.out.println("  M Estimate Factor      :    " + nbi.get_m_estimate_factor());

  }
}