imbalanced-learn¶
imbalanced-learn is a Python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance.
homepage: https://github.com/scikit-learn-contrib/imbalanced-learn
| version | versionsuffix | toolchain |
|---|---|---|
0.10.1 |
foss/2022a |
|
0.12.3 |
gfbf/2023a |
|
0.2.1 |
-Python-2.7.12 |
intel/2016b |
0.2.1 |
-Python-3.5.2 |
intel/2016b |
0.3.3 |
-Python-3.6.4 |
foss/2018a |
0.4.3 |
-Python-3.6.6 |
foss/2018b |
0.7.0 |
foss/2020b |
|
0.9.0 |
foss/2021b |
(quick links: (all) - 0 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o - p - q - r - s - t - u - v - w - x - y - z)