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
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