/**
* Gets the current settings of IBk.
*
* @return an array of strings suitable for passing to setOptions()
*/
public String[] getOptions() {
String[] options = new String[11];
int current = 0;
options[current++] = "-K";
options[current++] = "" + getKNN();
options[current++] = "-W";
options[current++] = "" + m_WindowSize;
if (getCrossValidate()) {
options[current++] = "-X";
}
if (getMeanSquared()) {
options[current++] = "-E";
}
if (m_DistanceWeighting == WEIGHT_INVERSE) {
options[current++] = "-I";
} else if (m_DistanceWeighting == WEIGHT_SIMILARITY) {
options[current++] = "-F";
}
options[current++] = "-A";
options[current++] =
m_NNSearch.getClass().getName() + " " + Utils.joinOptions(m_NNSearch.getOptions());
while (current < options.length) {
options[current++] = "";
}
return options;
}
/**
* Gets the current settings of the classifier.
*
* @return an array of strings suitable for passing to setOptions
*/
public String[] getOptions() {
String[] superOptions = super.getOptions();
String[] options = new String[superOptions.length + 6];
int current = 0;
options[current++] = "-U";
options[current++] = "" + getWeightingKernel();
if ((getKNN() == 0) && m_UseAllK) {
options[current++] = "-K";
options[current++] = "-1";
} else {
options[current++] = "-K";
options[current++] = "" + getKNN();
}
options[current++] = "-A";
options[current++] =
m_NNSearch.getClass().getName() + " " + Utils.joinOptions(m_NNSearch.getOptions());
System.arraycopy(superOptions, 0, options, current, superOptions.length);
return options;
}
