ORES

<blockquote> ⚠️ Warning: As of late 2023, the ORES infrastructure is being deprecated by the WMF Machine Learning team, please check https://wikitech.wikimedia.org/wiki/ORES for more info.

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

</blockquote>

A webserver for hosting scoring services. For more information, see the ORES documentation on MediaWiki.

Installation

ORES is based on Python 3. Use pip to install ORES:

pip install ores (or pip3 install ores if your distribution defaults to Python 2)

If you're running with the default Redis configuration, you'll need to install a few more optional libraries,

pip install ores[redis]

Then you can easily run a test server by:

ores applications.wsgi

Use the -h argument to view its usage.

ores applications.wsgi -h

Visit these pages to see if your installation works,

http://localhost:8080/ http://localhost:8080/v2/scores/testwiki/revid/641962088?features=true

Running ores using docker composer

As an easy way to run ores for development, download and install docker-compose and then do:

docker-compose build && docker-compose up

ores will be accessible through localhost:8080

Running tests

For a native installation, make sure you installed dependencies for testing:

pip install -r test-requirements.txt

then run:

py.test .

For docker installation, run:

docker-compose exec ores-worker py.test /ores

Utilities

ORES provides several utilities:

• precached: Starts a daemon that requests scores for revisions as they happen
• score_revisions: Scores a set of revisions using an ORES API
• stress_test: Scores a large set of revisions at a configurable rate
• test_api: Runs a series of tests against a live ORES API

In order to run any of them, run it through ./utility wrapper:

./utility test_api -h

For docker installations run it through one of containers:

docker-compose exec ores-worker /ores/utility test_api -h

Authors

• Aaron Halfaker
• Yuvi Panda
• Amir Sarabadani
• Justin Du
• Adam Wight