Method score

supervised_class/nb.py:30–32

(self, X, Y)

            self.priors[c] = float(len(Y[Y == c])) / len(Y)

    def score(self, X, Y):
        P = self.predict(X)
        return np.mean(P == Y)

    def predict(self, X):
        N, D = X.shape