[scikit-learn] target encoder: fit_transform vs fit.transform

[Sole Galli]

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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