trainlint: static checks for ML bugs that don't crash (fit-before-split, eval mode, logits losses) [P]
I wrote a small checker for training and evaluation code. It looks for mistakes that do not raise errors. The classic one is leakage through preprocessing. With 5,000 random features and random labels, picking the top 20
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