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anaconda.org : imbalanced-learn
imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn and is part of scikit-learn-contrib projects.
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purl: pkg:conda/imbalanced-learn
Keywords: data-analysis, data-science, machine-learning, python, statistics
License: MIT
Latest release: 5 months ago
First release: about 1 year ago
Dependent packages: 2
Dependent repositories: 118
Stars: 6,280 on GitHub
Forks: 1,231 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 19 days ago