Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update dependencies, add python 3.10, 3.11 tests, ensure code compatibility #106

Open
wants to merge 7 commits into
base: develop
Choose a base branch
from
Open
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Update readme
  • Loading branch information
mateusz-wozny committed May 17, 2024
commit 2ae819afe53b0334dbf949138b3a9fc73f2b2593
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
Multi-class imbalance is a common problem occurring in real-world supervised classifications tasks. While there has already been some research on the specialized methods aiming to tackle that challenging problem, most of them still lack coherent Python implementation that is simple, intuitive and easy to use.
multi-imbalance is a python package tackling the problem of multi-class imbalanced datasets in machine learning.
## Requirements
Tha package has been tested under python 3.9. It relies heavily on scikit-learn and typical scientific stack (numpy, scipy, pandas etc.).
Tha package has been tested under python 3.8-3.11. It relies heavily on scikit-learn and typical scientific stack (numpy, scipy, pandas etc.).
Requirements include:
* numpy>=1.23.4,<=1.26
* scikit-learn>=1.1.0,<=1.4
Expand Down
Loading