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across session coding scores for each CV fold #607

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alexpiet opened this issue Aug 4, 2023 · 0 comments

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alexpiet commented Aug 4, 2023

if a feature isn't present in one of the folds, it generates a NaN. Previously I was using nanmean() to ignore those when averaging across folds. Now I just throw a NaN, which causes some cells to crash. I could set the coding to 0 for these cells to get more data
Separately, my code didn't have a try/except block so if an early fold had a NaN, then it didn't compute the rest of the folds.

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