ORES has memory limits. There are various things we can do to fit more topic models in. This is an epic task to gather those various strategies.
|Resolved||Trizek-WMF||T247507 Scale: deploy Growth features to 100 wikis|
|Open||None||T249383 Scale: ORES topic models for fr, pt, pl, fa, sv, da, it, id, he (needed for May 2020)|
|Open||None||T252599 Build article topic model for Swedish Wikipedia|
|Resolved||Halfak||T278723 ORES deployment - Spring 2021|
|Resolved||HAKSOAT||T249382 Scale: ORES topic models for uk, hu, hy, eu, sr (needed as soon as available)|
|Declined||None||T249520 Fit more topic models into ORES|
|Resolved||Pavol86||T247523 Compress Gensim models|
|Resolved||Halfak||T242705 ORES uwsgi consumes a large amount of memory and CPU when shutting down (as part of a restart)|
The ML team is focusing on https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing, the replacement of ORES. Please re-open if you feel that something is missing, but we'd prefer to add any new functionality only on Lift Wing.