Routines.py 文件源码

def MeanSquareError(self,y, y_hat):
        '''Calculate the mean square error between the real value (y) and the predicted value (y_hat).'''

        '''Return MSE = 1/N \sum^N_{i=1} (y-y_hat)^2.'''
        dif =  np.subtract(y, y_hat)
        sum = np.mean(np.power(dif, 2), axis = 1)
        mse =  np.mean(sum)
        return mse