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 | 3ce92a6d4188b17ff6ac4d79bf443b5c |
| arch | x86_64 |
| build | py312h06a4308_1 |
| build_number | 1 |
| constrains | threadpoolctl >=2.0.0, tensorflow >=2.4.3, pandas >=1.0.5, keras >=2.4.3 |
| depends | joblib >=1.1.1, numpy >=1.17.3,<2.0a0, python >=3.12,<3.13.0a0, scikit-learn >=1.0.2, scipy >=1.5.0 |
| license | MIT |
| license_family | MIT |
| md5 | 3ce92a6d4188b17ff6ac4d79bf443b5c |
| name | imbalanced-learn |
| platform | linux |
| sha1 | fa8c64966b11525f96c2e5512f166ceb7a21325f |
| sha256 | 5ec070baa50f3779298d67832ccafaf9eb022c22b50261f91ac9825d253d0114 |
| size | 357384 |
| subdir | linux-64 |
| timestamp | 1701758467027 |
| version | 0.11.0 |