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 21:58:06 2025 |
| md5 checksum | 2b153fee11e203e5509afcfb6ef64352 |
| arch | x86_64 |
| build | py311h06a4308_1 |
| build_number | 1 |
| constrains | pandas >=1.0.5, keras >=2.4.3, tensorflow >=2.4.3 |
| 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, threadpoolctl >=2.0.0 |
| license | MIT |
| license_family | MIT |
| md5 | 2b153fee11e203e5509afcfb6ef64352 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 2634deddab6bc736cc18959195af5d6477c0ad85 |
| sha256 | 55e280539534cab4d4c8d24ee5fb56a2f418b9db0d4dde1a2092871a36f0bbac |
| size | 433579 |
| subdir | linux-64 |
| timestamp | 1718132266022 |
| version | 0.12.3 |