editquality 0.0.1
pip install editquality==0.0.1
Newer version available (0.5.1)
Released:
A library for performing automatic detection of the quality of Wikipedia edits.
Navigation
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Aaron Halfaker / Morten Warncke-Wang
Classifiers
- Development Status
- Intended Audience
- License
- Operating System
- Programming Language
- Topic
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
Project details
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Aaron Halfaker / Morten Warncke-Wang
Classifiers
- Development Status
- Intended Audience
- License
- Operating System
- Programming Language
- Topic
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 Distributions
File details
Details for the file editquality-0.0.1.zip
.
File metadata
- Download URL: editquality-0.0.1.zip
- Upload date:
- Size: 5.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
97aa8bd8f05d6e7fb7e78dccfbbe8239440a812a819b22b570b50707d0034752
|
|
MD5 |
1db071338f29376ca50209fe484661e4
|
|
BLAKE2b-256 |
c2e1082035c8847d06f11f941d9c339390fe00997d3c56c104c174dec27b91cb
|
File details
Details for the file editquality-0.0.1.tar.gz
.
File metadata
- Download URL: editquality-0.0.1.tar.gz
- Upload date:
- Size: 2.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
098d80119a407dfc657d65d596126412abef21114238513429c078aa392bb1f9
|
|
MD5 |
ebf1e3e182a6adb62f41221831fdfb23
|
|
BLAKE2b-256 |
36425e9455d9ceebdf7989750c756c7e09babb401dd81cb18e593675e3ff9049
|