DataCleaner needs scaling

[ardunn]

Was having trouble implementing this so I am putting it off till later

Basically fitting (with scaling enabled) using DataCleaner should define a scaler_obj for the class. This scaler object can then be used to transform all numerical (excluding target and one-hot or label columns) columns on other dataframes while preserving the scaling from the fitted scaler.

In other words the scaler should not be refit during .transform, only .fit.

[ardunn]

It appears to me that tpot already handles all scaling and normalization needed based on models (including trying models with and without scaling/normalization). So as of right now doing scaling externally to tpot is not needed.