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.
| Uploaded | Mon Mar 31 21:58:07 2025 |
| md5 checksum | 5aade7cd67073d325ac1a56a56541f48 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| constrains | keras >=2.4.3, threadpoolctl >=2.0.0, tensorflow >=2.4.3, pandas >=1.0.5 |
| depends | joblib >=1.1.1, numpy >=1.17.3,<2.0a0, python >=3.11,<3.12.0a0, scikit-learn >=1.0.2, scipy >=1.5.0 |
| license | MIT |
| license_family | MIT |
| md5 | 5aade7cd67073d325ac1a56a56541f48 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | be33ae757ddad8036d71d0db3d300c8ce3baad2e |
| sha256 | f07bd65bec57e7f1444cf41ed5f340329cfe94a9540eae8209db899c73c69eb5 |
| size | 384699 |
| subdir | linux-64 |
| timestamp | 1700648566615 |
| version | 0.11.0 |