Hey team,
I am going over the TargetEncoder documentation and I want to make sure I
understand this correctly.
Is the intention of fit_transform's cross fit just to understand/ analyse /
determine somehow how this transformer would perform?
Because if I got this right, the attribute values (category-number mappings)
are determined over the entire training set, both in fit_transform and fit, so
when we call transform over a new data set, say test, we'd obtain the same
result regardless of whether we fit the transformer with fit or fit_transform.
Correct?
Thank you for your input!
Best
Sole
Sent with [Proton Mail](https://proton.me/) secure email.
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
