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

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

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d9e8ea4
move click to seperate section, remove req file
mateusz-wozny Nov 20, 2023
ed5b204
improve readme
mateusz-wozny Nov 20, 2023
9d872b6
loose dependencies, update notebooks, update code to use newest featu…
mateusz-wozny May 17, 2024
fa25221
scikit poshocs~=0.7
mateusz-wozny May 17, 2024
4f5d47c
fix flake8
mateusz-wozny May 17, 2024
658aa67
Update readme, add py310 and py311
mateusz-wozny May 17, 2024
2ae819a
Update readme
mateusz-wozny May 17, 2024
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Update readme
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@mateusz-wozny
mateusz-wozny committed May 17, 2024
commit 2ae819afe53b0334dbf949138b3a9fc73f2b2593
2 changes: 1 addition & 1 deletion README.md
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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
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