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 | 6483408c742698c29788294ac0537469 |
| arch | x86_64 |
| build | py310h06a4308_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 >=3.10,<3.11.0a0, scikit-learn >=1.0.2, scipy >=1.5.0 |
| license | MIT |
| license_family | MIT |
| md5 | 6483408c742698c29788294ac0537469 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 7b1fd5c77800655d27fe9abfa70db51b10872284 |
| sha256 | 6f849701246a6eca69ab26c86bc7f5557b9ea4e2fc2cf88f9288467d4da43a0e |
| size | 295937 |
| subdir | linux-64 |
| timestamp | 1700648282539 |
| version | 0.11.0 |