I’ve used proc_df to help standardize and label encode my dataframe but now that I have a working model I need to transform the predictions back into their original units so I can use them downstream in my process. How do I run an inverse_transform() on the mapper object that gets created in the scale_vars() function called by proc_df? Does anyone have experience with this?
I’ve checked the sklearn-pandas docs to see if there is any info on this but they don’t cover the topic of inverting the transformations https://github.com/scikit-learn-contrib/sklearn-pandas
After working for hard to clean data and build a successful model I’m definitely surprised to find this to be the part I’m stuck on!