Normalization on the whole dataset?

[AlainOUYANG]

Hello Prof. LAI,

At line 125 in utils.py, inside the _normalized() function, it seems that a normalization of the whole dataset is performed for both the train, valid, and test sets.

# normalized by the maximum value of each row(sensor).
if normalize == 2:
	for i in range(self.m):
    	self.scale[i] = np.max(np.abs(self.raw_data[:, i]))  # <- This line
        self.dat[:, i] = self.raw_data[:, i] / np.max(np.abs(self.raw_data[:, i]))

I think it is not proper to use the information in the test data for training.