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 21:57:04 2025 |
| md5 checksum | 380a3b5e5b66dfa27047cda60039e4c9 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| constrains | tensorflow >=2.13.1,<3, keras >=3.0.5,<4, pandas >=1.5.3,<3 |
| depends | joblib >=1.1.1,<2, numpy >=1.24.3,<3, python >=3.10,<3.11.0a0, scikit-learn >=1.3.2,<2, scipy >=1.10.1,<2, sklearn-compat >=0.1,<1, threadpoolctl >=2.0.0,<4 |
| license | MIT |
| license_family | MIT |
| md5 | 380a3b5e5b66dfa27047cda60039e4c9 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 941e56eb585fb213fbec7995865b7296c228ef47 |
| sha256 | 7106b123424275095c5e6ca583c261d7174f402d62e2acf3600d0c03ae1a40fe |
| size | 303821 |
| subdir | linux-64 |
| timestamp | 1738614380297 |
| version | 0.13.0 |