def _shuffle(self, X, y):
        """훈련 데이터를 섞습니다"""
        r = self.rgen.permutation(len(y))
        return X[r], y[r]
    
    def _initialize_weights(self, m):
        """랜덤한 작은 수로 가중치를 초기화합니다"""
        self.rgen = np.random.RandomState(self.random_state)
        self.w_ = self.rgen.normal(loc=0.0, scale=0.01,
                                   size=m)
        self.b_ = np.float_(0.)
        self.w_initialized = True
        
    def _update_weights(self, xi, target):
        """아달린 학습 규칙을 적용하여 가중치를 업데이트합니다"""
        output = self.activation(self.net_input(xi))
        error = (target - output)
        self.w_ += self.eta * 2.0 * xi * (error)
        self.b_ += self.eta * 2.0 * error
        loss = error**2
        return loss
    
    def net_input(self, X):
        """최종 입력 계산"""
        return np.dot(X, self.w_) + self.b_