/**
* Updates the parameters of a classifier.
*
* @param microClSum is the numerosity of the action set (all the action set.).
* @param classOfExample is the class of the example.
*/
public void updateParameters(double microClInC, int classOfExample) {
parameters.updateParameters(microClInC, action, classOfExample);
} // end updateParameters
/**
* Updates the parameters of a classifier (reinforcement component)
*
* @param P is the payoff of the current iteration (P = reward + gamma * maxPrediction)
* @param microClSum is the numerosity of the action set (all the action set.).
*/
public void updateParameters(double P, double microClSum) {
parameters.updateParameters(P, microClSum);
} // end updateParameters
