I am using Keras NN with theanos backend in Python. In my data i have multiple features of the same type but in different columns (on purpose). Here is an example.
F1 F2 0. 8673 7490 1. 5602 5602 2. 4352 2365
When i go to process this, say MinMaxScaler 0-1, even though '1.' in both features should be the same, because both columns have different min-max values won't the normalized value be different and therefor cause problems in pattern finding? If so, what method can i use to make sure that they are of the same relative scale? Thanks for any help.