A library for performing automatic detection of the quality of Wikipedia edits.
Project description
# Edit quality
This library provides a set of utilities for building and maintaining edit quality prediction models.
Installation: pip install editquality
Repository: https://github.com/wiki-ai/editquality
License: MIT
## Author * Aaron Halfaker – https://github.com/halfak * Amir Sarabadani – https://github.com/Ladsgroup
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
editquality-0.4.1.tar.gz
(14.7 kB
view details)
Built Distribution
File details
Details for the file editquality-0.4.1.tar.gz.
File metadata
- Download URL: editquality-0.4.1.tar.gz
- Upload date:
- Size: 14.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 74a3e056787a557dafe7f97f836e798254030f94da8d1b61c0091a59a28ff10f |
|
| MD5 | 9d1c13441da7ad6f630272cc7efdee16 |
|
| BLAKE2b-256 | d94dff4f67473579d1c84f7796beb85a895ae75be830b4ee7b69725fedaf72e4 |
File details
Details for the file editquality-0.4.1-py2.py3-none-any.whl.
File metadata
- Download URL: editquality-0.4.1-py2.py3-none-any.whl
- Upload date:
- Size: 27.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | dffef04a4ef179a765e9540f568316bf604c8af8462fb4f0bb84b263b010b3a5 |
|
| MD5 | 1f446674824ef77cc0ac42fd9ed7ee16 |
|
| BLAKE2b-256 | 528b53c48052cd6239ad4b379398afe36182005b0a829b1ef2e874ce8e7144b2 |
