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spack.io : py-multi-imbalance
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 learnin
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purl: pkg:spack/py-multi-imbalance
Keywords: bagging, balancing, class-imbalance, decision-trees, decomposition, ensembles, machine-learning, multi-class-imbalance, oversampling, preprocessing, python, python-package, resampling, smote, undersampling
License: Other
Latest release: 4 months ago
First release: 4 months ago
Stars: 73 on GitHub
Forks: 8 on GitHub
Total Commits: 342
Committers: 6
Average commits per author: 57.0
Development Distribution Score (DDS): 0.611
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Last synced: 18 days ago