/**
* initialize various variables before starting the actual optimizer
*
* @param data data set used for learning
* @throws Exception if something goes wrong
*/
protected void init(Instances data) throws Exception {
super.init(data);
// init error cache
m_error = new double[m_nInstances];
for (int i = 0; i < m_nInstances; i++) {
m_error[i] = -m_target[i];
}
}
