Suppose I have list like this:
dataset = [2,3,5,7,11,13] # Split x_train where x_window is 3 x_train = [ [2,3,5], [3,5,7], ] # Split y_train where y_window is 2 y_train = [ [7,11], [11,13], ]
Shall I normalize with Minimax scaling for entire dataset first before splitting train set? If so, then the min value for entire dataset is 2 while the max value for entire dataset is 13.
If no, shall I normalize the every x_train and every y_train? If so, then the min value is depends on value in element itself, for example x_train min value is 2 while x_train max value is 5.
I need to put it to the architecture of LSTM