Retrieval stats will now use polars to build a big data frame for
references with the cartesian product of LSP declarations and retrieved
declaration candidates (with all their score components) and rebuilds
the stats summary on top of it.
This data frame is written to a `.parquet` file, which we can load into
advanced analytics tools (such as Metabase), so we can explore our
scoring distributions and find ways to improve retrieval, and then train
the decision tree.
Release Notes:
- N/A
1bd34e0db0