Examples of weka.classifiers.functions.supportVector.RegSMOImproved

weka.classifiers.functions.supportVector.RegSMOImproved

.mpe.nus.edu.sg/\~mpessk/svm/ieee_smo_reg.ps.gz} } @techreport{Shevade1999, address = {Control Division, Dept. of Mechanical Engineering}, author = {S.K. Shevade and S.S. Keerthi and C. Bhattacharyya and K.R.K. Murthy}, institution = {National University of Singapore}, number = {CD-99-16}, title = {Improvements to the SMO Algorithm for SVM Regression}, year = {1999}, PS = {http://guppy.mpe.nus.edu.sg/\~mpessk/svm/smoreg_mod.ps.gz} }

Valid options are:

 -T <double> The tolerance parameter for checking the stopping criterion. (default 0.001)

 -V Use variant 1 of the algorithm when true, otherwise use variant 2. (default true)

 -P <double> The epsilon for round-off error. (default 1.0e-12)

 -L <double> The epsilon parameter in epsilon-insensitive loss function. (default 1.0e-3)

 -W <double> The random number seed. (default 1)

@author Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz) @version $Revision: 1.4 $

      tmpOptions[0] = "";
      setRegOptimizer(
    (RegOptimizer) Utils.forName(RegOptimizer.class, tmpStr, tmpOptions));
    }
    else {
      setRegOptimizer(new RegSMOImproved());
    }


    tmpStr     = Utils.getOption('K', options);
    tmpOptions = Utils.splitOptions(tmpStr);
    if (tmpOptions.length != 0) {

      tmpOptions[0] = "";
      setRegOptimizer(
    (RegOptimizer) Utils.forName(RegOptimizer.class, tmpStr, tmpOptions));
    }
    else {
      setRegOptimizer(new RegSMOImproved());
    }


    tmpStr     = Utils.getOption('K', options);
    tmpOptions = Utils.splitOptions(tmpStr);
    if (tmpOptions.length != 0) {

      tmpOptions[0] = "";
      setRegOptimizer(
    (RegOptimizer) Utils.forName(RegOptimizer.class, tmpStr, tmpOptions));
    }
    else {
      setRegOptimizer(new RegSMOImproved());
    }


    tmpStr     = Utils.getOption('K', options);
    tmpOptions = Utils.splitOptions(tmpStr);
    if (tmpOptions.length != 0) {

Examples of weka.classifiers.functions.supportVector.RegSMOImproved

Related Classes of weka.classifiers.functions.supportVector.RegSMOImproved