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imbalanced-learn 0.14.1

0

Toolbox for imbalanced dataset in machine learning

Toolbox for imbalanced dataset in machine learning

Stars: 7082, Watchers: 7082, Forks: 1328, Open Issues: 61

The scikit-learn-contrib/imbalanced-learn repo was created 11 years ago and the last code push was 2 weeks ago.
The project is extremely popular with a mindblowing 7082 github stars!

How to Install imbalanced-learn

You can install imbalanced-learn using pip

pip install imbalanced-learn

or add it to a project with poetry

poetry add imbalanced-learn

Package Details

Author
None
License
None
Homepage
None
PyPi:
https://pypi.org/project/imbalanced-learn/
GitHub Repo:
https://github.com/scikit-learn-contrib/imbalanced-learn

Classifiers

  • Scientific/Engineering
  • Software Development/Libraries
No  imbalanced-learn  pypi packages just yet.

Errors

A list of common imbalanced-learn errors.

Code Examples

Here are some imbalanced-learn code examples and snippets.

GitHub Issues

The imbalanced-learn package has 61 open issues on GitHub

  • [DOC] Add warning about over-sampling limitations
  • [ENH] Handling time series/3D data
  • [DOC] User warning over sampling methods

See more issues on GitHub

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