While the code in this repository may still work, it is unmaintained, and as such may break at any time. Special consideration should also be given to machine learning models seeing drift in quality of predictions.
The replacement for ORES and associated infrastructure is Lift Wing: https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing
Some Revscoring models from ORES run on the Lift Wing infrastructure, but they are otherwise unsupported (no new training or code updates).
They can be downloaded from the links documented at: https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing#Revscoring_models_(migrated_from_ORES)
In the long term, some or all these models may be replaced by newer models specifically tailored to be run on modern ML infrastructure like Lift Wing.
If you have any questions, contact the WMF Machine Learning team: https://wikitech.wikimedia.org/wiki/Machine_Learning
This library provides a set of utilities for building and maintaining draft (new article creation) quality prediction models for Wikipedia.
pip install draftqualityOptionally requires the following based on usage:
python -m nltk.downloader sentiwordnetpython -m nltk.downloader wordnet