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Last year's model had some performance issues (slow) during the post-modeling stages (assess, evaluate). I believe that these issues are likely due to heavy use of complicated dplyr calls. We should refactor each pipeline stage to improve runtimes. The easiest option is to simply drop in dtplyr and use data.table to speed things up, but the more prudent option is to rewrite in polars or data.table.
The text was updated successfully, but these errors were encountered:
Last year's model had some performance issues (slow) during the post-modeling stages (assess, evaluate). I believe that these issues are likely due to heavy use of complicated dplyr calls. We should refactor each pipeline stage to improve runtimes. The easiest option is to simply drop in
dtplyr
and usedata.table
to speed things up, but the more prudent option is to rewrite inpolars
ordata.table
.The text was updated successfully, but these errors were encountered: