Preserve extra icd_df columns in similarity output#8
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Previously, Phecoder.__init__ dropped all columns from icd_df except icd_code and icd_string. Any additional columns the user provided (e.g. frequency, category, source) were lost. Now the full DataFrame is retained and extra columns are merged into the similarity.parquet output for both per-model runs and ensemble runs. The ICD fingerprint (used for cache/skip logic) is still computed on only the two essential columns so that adding metadata columns does not invalidate embedding caches. https://claude.ai/code/session_01L3hQVCXxdrWBSHoFLzmLyy
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Previously, Phecoder.init dropped all columns from icd_df except icd_code and icd_string. Any additional columns the user provided (e.g. frequency, category, source) were lost. Now the full DataFrame is retained and extra columns are merged into the similarity.parquet output for both per-model runs and ensemble runs.
The ICD fingerprint (used for cache/skip logic) is still computed on only the two essential columns so that adding metadata columns does not invalidate embedding caches.
https://claude.ai/code/session_01L3hQVCXxdrWBSHoFLzmLyy