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 21:58:08 2025 |
| md5 checksum | 586e7db36b5022b041b91d33fccd2de6 |
| arch | x86_64 |
| build | py310h06a4308_0 |
| depends | joblib >=1.1.1, numpy <2.0a0, python >=3.10,<3.11.0a0, scikit-learn >=1.0.2, scipy >=1.3.2 |
| license | MIT |
| license_family | MIT |
| md5 | 586e7db36b5022b041b91d33fccd2de6 |
| name | imbalanced-learn |
| platform | linux |
| sha1 | ad4306e859d7559e575c8fb872d5fadd35dce55b |
| sha256 | 8470566416b5cf3206e1170872133e405fbfedbce5ea0e5e602937452380b738 |
| size | 286452 |
| subdir | linux-64 |
| timestamp | 1677191754591 |
| version | 0.10.1 |