/**
* 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);
}
}