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kelly-sovacool avatar kelly-sovacool commented on July 26, 2024

Hi @sskoldas, can you explain a bit more about how you're getting this error? I see it looks like you're calling mikropml with a Makefile. Can you share the R code that got you here?

NaN values are numerics (verified by running class(NaN)), therefore they can be combined with doubles by dplyr::bind_rows(). Maybe there are actually NA_character_ values in your performance tibbles? Or are there literally characters like "NaN" that need to be changed to NaN with a mutate() & if_else()?

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sskoldas avatar sskoldas commented on July 26, 2024

I think, there are characters like "NaN" because the error is gone when I run this:
performance <- iterative_run_ml_results %>% lapply(pluck, "performance")
map_dfr(performance, ~mutate(.x, across(where(is.character),as.logical))) %>% write_tsv(glue("{root}_performance.tsv"))

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kelly-sovacool avatar kelly-sovacool commented on July 26, 2024

Is your dataset very small and/or have highly imbalanced outcomes? In those cases the performance may be so bad that it can't be calculated. (Related to #311)

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