def mean_squared_logarithmic_error(y_true, y_pred):
    first_log = K.log(K.clip(y_pred, K.epsilon(), np.inf) + 1.)
    second_log = K.log(K.clip(y_true, K.epsilon(), np.inf) + 1.)
    return K.mean(K.square(second_log - first_log))
dataset/ETHPy150Open fchollet/keras/keras/metrics.py/mean_squared_logarithmic_error/swapped operands of `-`