/** * Main method for testing this class. * * @param argv should contain arguments to the filter: use -h for help */ public static void main(String[] argv) { try { if (Utils.getFlag('b', argv)) { Filter.batchFilterFile(new AllFilter(), argv); } else { Filter.filterFile(new AllFilter(), argv); } } catch (Exception ex) { System.out.println(ex.getMessage()); } }
/** * Parses a given list of options. Valid options are: * * <p>-D <br> * Turn on debugging output. * * <p>-S seed <br> * Random number seed (default 1). * * <p>-B classifierstring <br> * Classifierstring should contain the full class name of a scheme included for selection followed * by options to the classifier (required, option should be used once for each classifier). * * <p>-X num_folds <br> * Use cross validation error as the basis for classifier selection. (default 0, is to use error * on the training data instead) * * <p> * * @param options the list of options as an array of strings * @exception Exception if an option is not supported */ public void setOptions(String[] options) throws Exception { setDebug(Utils.getFlag('D', options)); String numFoldsString = Utils.getOption('X', options); if (numFoldsString.length() != 0) { setNumFolds(Integer.parseInt(numFoldsString)); } else { setNumFolds(0); } String randomString = Utils.getOption('S', options); if (randomString.length() != 0) { setSeed(Integer.parseInt(randomString)); } else { setSeed(1); } // Iterate through the schemes FastVector classifiers = new FastVector(); while (true) { String classifierString = Utils.getOption('B', options); if (classifierString.length() == 0) { break; } String[] classifierSpec = Utils.splitOptions(classifierString); if (classifierSpec.length == 0) { throw new Exception("Invalid classifier specification string"); } String classifierName = classifierSpec[0]; classifierSpec[0] = ""; classifiers.addElement(Classifier.forName(classifierName, classifierSpec)); } if (classifiers.size() <= 1) { throw new Exception("At least two classifiers must be specified" + " with the -B option."); } else { Classifier[] classifiersArray = new Classifier[classifiers.size()]; for (int i = 0; i < classifiersArray.length; i++) { classifiersArray[i] = (Classifier) classifiers.elementAt(i); } setClassifiers(classifiersArray); } }