How to Install and Uninstall python-mlpy-doc Package on Kali Linux
Last updated: January 23,2025
1. Install "python-mlpy-doc" package
This is a short guide on how to install python-mlpy-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
python-mlpy-doc
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2. Uninstall "python-mlpy-doc" package
Learn how to uninstall python-mlpy-doc on Kali Linux:
$
sudo apt remove
python-mlpy-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-mlpy-doc package on Kali Linux
Package: python-mlpy-doc
Source: mlpy
Version: 3.5.0+ds-3
Installed-Size: 3409
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-jquery, libjs-underscore
Suggests: python3-mlpy
Size: 2762992
SHA256: 07d1bdc77065f11c20c5398c7392aac4ae6694f05e6505418a7cebea8bff4337
SHA1: 7d76ef58848b380779af45fb9354be4092bb00d6
MD5sum: 3f7f9f282b1aa0a74dbbe3f7ab063436
Description: documentation and examples for mlpy
mlpy provides high level procedures that support, with few lines of
code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking,
data resampling, error evaluation and experiment landscaping.
.
This package provides user documentation for mlpy in various formats
(HTML, PDF).
Description-md5:
Multi-Arch: foreign
Homepage: https://mlpy.fbk.eu/
Tag: devel::doc, devel::examples, made-of::html, made-of::pdf,
role::documentation
Section: doc
Priority: optional
Filename: pool/main/m/mlpy/python-mlpy-doc_3.5.0+ds-3_all.deb
Source: mlpy
Version: 3.5.0+ds-3
Installed-Size: 3409
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-jquery, libjs-underscore
Suggests: python3-mlpy
Size: 2762992
SHA256: 07d1bdc77065f11c20c5398c7392aac4ae6694f05e6505418a7cebea8bff4337
SHA1: 7d76ef58848b380779af45fb9354be4092bb00d6
MD5sum: 3f7f9f282b1aa0a74dbbe3f7ab063436
Description: documentation and examples for mlpy
mlpy provides high level procedures that support, with few lines of
code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking,
data resampling, error evaluation and experiment landscaping.
.
This package provides user documentation for mlpy in various formats
(HTML, PDF).
Description-md5:
Multi-Arch: foreign
Homepage: https://mlpy.fbk.eu/
Tag: devel::doc, devel::examples, made-of::html, made-of::pdf,
role::documentation
Section: doc
Priority: optional
Filename: pool/main/m/mlpy/python-mlpy-doc_3.5.0+ds-3_all.deb