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Interactive ML Toolset
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```python col_to_me = ['numberOfDaysActuallyPlayed'] @register def days_me(df): return (stl.make_mean_encoding(col_to_me, 'target'))(df) ``` only source will be saved, no info about col_to_me bad codestyle, we need to define such variables inside of...
Let's assume we've got a trainable function "f(df)" which uses an encoder inside of it. We have two instances of it, trained using different folds, hence they have different encoders....