/** * 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