/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -M
* Minimize expected misclassification cost. Default is to
* reweight training instances according to costs per class</pre>
*
* <pre> -C <cost file name>
* File name of a cost matrix to use. If this is not supplied,
* a cost matrix will be loaded on demand. The name of the
* on-demand file is the relation name of the training data
* plus ".cost", and the path to the on-demand file is
* specified with the -N option.</pre>
*
* <pre> -N <directory>
* Name of a directory to search for cost files when loading
* costs on demand (default current directory).</pre>
*
* <pre> -cost-matrix <matrix>
* The cost matrix in Matlab single line format.</pre>
*
* <pre> -S <num>
* Random number seed.
* (default 1)</pre>
*
* <pre> -D
* If set, classifier is run in debug mode and
* may output additional info to the console</pre>
*
* <pre> -W
* Full name of base classifier.
* (default: weka.classifiers.rules.ZeroR)</pre>
*
* <pre>
* Options specific to classifier weka.classifiers.rules.ZeroR:
* </pre>
*
* <pre> -D
* If set, classifier is run in debug mode and
* may output additional info to the console</pre>
*
* <!-- options-end -->
* Options after -- are passed to the designated classifier.
*
* <p>
*
* @param options the list of options as an array of strings
* @throws Exception if an option is not supported
*/
public void setOptions(String[] options) throws Exception {
setMinimizeExpectedCost(Utils.getFlag('M', options));
String costFile = Utils.getOption('C', options);
if (costFile.length() != 0) {
try {
setCostMatrix(new CostMatrix(new BufferedReader(new FileReader(costFile))));
} catch (Exception ex) {
// now flag as possible old format cost matrix. Delay cost matrix
// loading until buildClassifer is called
setCostMatrix(null);
}
setCostMatrixSource(new SelectedTag(MATRIX_SUPPLIED, TAGS_MATRIX_SOURCE));
m_CostFile = costFile;
} else {
setCostMatrixSource(new SelectedTag(MATRIX_ON_DEMAND, TAGS_MATRIX_SOURCE));
}
String demandDir = Utils.getOption('N', options);
if (demandDir.length() != 0) {
setOnDemandDirectory(new File(demandDir));
}
String cost_matrix = Utils.getOption("cost-matrix", options);
if (cost_matrix.length() != 0) {
StringWriter writer = new StringWriter();
CostMatrix.parseMatlab(cost_matrix).write(writer);
setCostMatrix(new CostMatrix(new StringReader(writer.toString())));
setCostMatrixSource(new SelectedTag(MATRIX_SUPPLIED, TAGS_MATRIX_SOURCE));
}
super.setOptions(options);
}
/**
* Parses a given list of options.
*
* <p>
* <!-- options-start -->
* Valid options are:
*
* <p>
*
* <pre> -X <number of folds>
* Number of folds used for cross validation (default 10).</pre>
*
* <pre> -P <classifier parameter>
* Classifier parameter options.
* eg: "N 1 5 10" Sets an optimisation parameter for the
* classifier with name -N, with lower bound 1, upper bound
* 5, and 10 optimisation steps. The upper bound may be the
* character 'A' or 'I' to substitute the number of
* attributes or instances in the training data,
* respectively. This parameter may be supplied more than
* once to optimise over several classifier options
* simultaneously.</pre>
*
* <pre> -S <num>
* Random number seed.
* (default 1)</pre>
*
* <pre> -D
* If set, classifier is run in debug mode and
* may output additional info to the console</pre>
*
* <pre> -W
* Full name of base classifier.
* (default: weka.classifiers.rules.ZeroR)</pre>
*
* <pre>
* Options specific to classifier weka.classifiers.rules.ZeroR:
* </pre>
*
* <pre> -D
* If set, classifier is run in debug mode and
* may output additional info to the console</pre>
*
* <!-- options-end -->
* Options after -- are passed to the designated sub-classifier.
*
* <p>
*
* @param options the list of options as an array of strings
* @throws Exception if an option is not supported
*/
public void setOptions(String[] options) throws Exception {
String foldsString = Utils.getOption('X', options);
if (foldsString.length() != 0) {
setNumFolds(Integer.parseInt(foldsString));
} else {
setNumFolds(10);
}
String cvParam;
m_CVParams = new FastVector();
do {
cvParam = Utils.getOption('P', options);
if (cvParam.length() != 0) {
addCVParameter(cvParam);
}
} while (cvParam.length() != 0);
super.setOptions(options);
}
