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Description of changes:
temp_script.py
fitsTABPFN
andRF
models on two datasets - namelyAustralian
andblood-transfusion-service-center
over3 folds.
this is then passed over to be compared to models in tabrepo, namely
Catboost
andLightGBM
, note that we only retrieve2 folds
when fetching metrics from tabrepo.This fold mismatch is done on purpose to see if the final dataframe after
compare_metrics()
is correct or not.Below is the attached screenshot of the final df, which groups and compares the fitted AG models with TabRepo configs
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