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 21:58:08 2025 |
| md5 checksum | 9295fa02e2cbbc50d97b554ea0944db1 |
| arch | x86_64 |
| build | py310h06a4308_1 |
| build_number | 1 |
| constrains | threadpoolctl >=2.0.0 |
| depends | joblib >=1.1.1, numpy >=1.17.3,<2.0a0, python >=3.10,<3.11.0a0, scikit-learn >=1.0.2, scipy >=1.3.2 |
| license | MIT |
| license_family | MIT |
| md5 | 9295fa02e2cbbc50d97b554ea0944db1 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 5e8556047ad08ac9bb4cb9492a9e5ba3ff54a985 |
| sha256 | c14d31e24d7c4d0a68352929e505e40750e56fc535b23d830a2e0f971aae864a |
| size | 288108 |
| subdir | linux-64 |
| timestamp | 1685021294497 |
| version | 0.10.1 |