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 | 657084b82c022423a303fbddf5063175 |
| arch | x86_64 |
| build | py311h06a4308_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 >=3.11,<3.12.0a0, 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 | 657084b82c022423a303fbddf5063175 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 0261de3ad67c92a650dbbf4029ff9148e12e27e5 |
| sha256 | ee1851eefdd44f5f07dc751ac64885cfa28b49431730304ec06ff0e4662e4a04 |
| size | 395022 |
| subdir | linux-64 |
| timestamp | 1738614584952 |
| version | 0.13.0 |