How to Install and Uninstall python3-imblearn Package on Kali Linux
Last updated: December 23,2024
1. Install "python3-imblearn" package
This guide covers the steps necessary to install python3-imblearn on Kali Linux
$
sudo apt update
Copied
$
sudo apt install
python3-imblearn
Copied
2. Uninstall "python3-imblearn" package
Here is a brief guide to show you how to uninstall python3-imblearn on Kali Linux:
$
sudo apt remove
python3-imblearn
Copied
$
sudo apt autoclean && sudo apt autoremove
Copied
3. Information about the python3-imblearn package on Kali Linux
Package: python3-imblearn
Source: imbalanced-learn
Version: 0.12.0-2
Installed-Size: 1002
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-joblib, python3-numpy, python3-scipy, python3-sklearn (>= 1.4.1), python3-threadpoolctl, python3:any
Size: 141840
SHA256: 23f8b469f0d9d0475d6208934993cedbc4e2dbffe1f6e90faaa0290588123a2a
SHA1: 6deb794f343c68785f09d7ab2a440fb4d2c16fcf
MD5sum: e7cf353bb3f70894ed45e4adba09b2d4
Description: library providing resampling techniques
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.
Description-md5:
Homepage: https://github.com/scikit-learn-contrib/imbalanced-learn
Section: python
Priority: optional
Filename: pool/main/i/imbalanced-learn/python3-imblearn_0.12.0-2_all.deb
Source: imbalanced-learn
Version: 0.12.0-2
Installed-Size: 1002
Maintainer: Debian Med Packaging Team
Architecture: all
Depends: python3-joblib, python3-numpy, python3-scipy, python3-sklearn (>= 1.4.1), python3-threadpoolctl, python3:any
Size: 141840
SHA256: 23f8b469f0d9d0475d6208934993cedbc4e2dbffe1f6e90faaa0290588123a2a
SHA1: 6deb794f343c68785f09d7ab2a440fb4d2c16fcf
MD5sum: e7cf353bb3f70894ed45e4adba09b2d4
Description: library providing resampling techniques
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.
Description-md5:
Homepage: https://github.com/scikit-learn-contrib/imbalanced-learn
Section: python
Priority: optional
Filename: pool/main/i/imbalanced-learn/python3-imblearn_0.12.0-2_all.deb