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 21:58:09 2025 |
| md5 checksum | 8dce6b86bcfc4945ebae8e125e2a71c1 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| constrains | threadpoolctl >=2.0.0 |
| depends | joblib >=1.1.1, numpy >=1.17.3,<2.0a0, python >=3.11,<3.12.0a0, scikit-learn >=1.0.2, scipy >=1.3.2 |
| license | MIT |
| license_family | MIT |
| md5 | 8dce6b86bcfc4945ebae8e125e2a71c1 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | d9af2a1ba19ff476afe9a5060b42eed6b8c75a9f |
| sha256 | 6172b730ca44e59b8df73e1b46e571a5ed7906bf810575f85ddd178d3064b846 |
| size | 375403 |
| subdir | linux-64 |
| timestamp | 1685020919269 |
| version | 0.10.1 |