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 | 29d63661ac2e121a27c5efbc67d40f4a |
| arch | x86_64 |
| build | py312h06a4308_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 >=3.12,<3.13.0a0, scikit-learn >=1.0.2, scipy >=1.5.0, threadpoolctl >=2.0.0 |
| license | MIT |
| license_family | MIT |
| md5 | 29d63661ac2e121a27c5efbc67d40f4a |
| name | imbalanced-learn |
| platform | linux |
| sha1 | ec3add6db7392930b79610da374f842165282554 |
| sha256 | e474ce0e3f77b1866f28c8a8caf3698cc5dfea740147fd15d4cac95c2cb130cc |
| size | 418879 |
| subdir | linux-64 |
| timestamp | 1718132580262 |
| version | 0.12.3 |