Currently, the predictions are output as csv files. It would be nice if there was a quick way to surface these so they can be explored with GapFinder. The process will likely need to be manually invoked for now.
| Status | Subtype | Assigned | Task | ||
|---|---|---|---|---|---|
| Resolved | • schana | T162912 Improve the algorithm for translation recommendations | |||
| Resolved | • schana | T169089 Surface scores from spark job | |||
| Invalid | None | T169766 Request custom instance for recommendation-api labs project |
Get data from spark job in nice format:
https://github.com/schana/recommendation-translation/pull/4
The scores are now discoverable through a test api endpoint (https://recommend-missing-sections.wmflabs.org/types/translation_test/#!/v1/get_items) and through the alpha GapFinder (https://recommend-alpha.wmflabs.org/translation_test).