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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
![image](https://private-user-images.githubusercontent.com/72700405/364998693-ea06c5aa-40e0-43ee-bbbe-6c9ad87420c7.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.FI5uOHdpNElpBqxXwIHWKi494bry8pDT96x_mgXUwgM)
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