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 21:58:05 2025 |
| md5 checksum | 0f1df6f664170e2722e51c739da07156 |
| arch | x86_64 |
| build | py310h06a4308_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 >=3.10,<3.11.0a0, scikit-learn >=1.0.2, scipy >=1.5.0, threadpoolctl >=2.0.0 |
| license | MIT |
| license_family | MIT |
| md5 | 0f1df6f664170e2722e51c739da07156 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | 267fc91b5c1a76f6c665c7ddcf00b865f1d93146 |
| sha256 | c7a440080d196d220dd4ee9e211059f7312f4fb8c300fe4c157f2d736b2829f8 |
| size | 332623 |
| subdir | linux-64 |
| timestamp | 1718132849111 |
| version | 0.12.3 |