How to cache intermediate DataFrames in Python (without brittle pickle files)
Why features_v3_final.pkl keeps burning you — and how to make cached reuse something you can actually trust.
Why features_v3_final.pkl keeps burning you — and how to make cached reuse something you can actually trust.
Sweep a big grid cheaply, and trust the comparison because every config trained on the same cached inputs.
You rerun everything because you can't tell what's stale. Fix that, and the rerun gets cheap on its own.