How to Install and Uninstall python-mlpy-doc Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: December 23,2024
1. Install "python-mlpy-doc" package
This tutorial shows how to install python-mlpy-doc on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-mlpy-doc
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2. Uninstall "python-mlpy-doc" package
Please follow the guidance below to uninstall python-mlpy-doc on Ubuntu 16.04 LTS (Xenial Xerus):
$
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 Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-mlpy-doc
Priority: optional
Section: universe/doc
Installed-Size: 952
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: mlpy
Version: 2.2.0~dfsg1-3build2
Depends: libjs-jquery, libjs-underscore
Suggests: python-mlpy
Filename: pool/universe/m/mlpy/python-mlpy-doc_2.2.0~dfsg1-3build2_all.deb
Size: 478514
MD5sum: 27c502be1137a088c51cdc60c63a4e25
SHA1: 95071c1e1b07eb631cc4d4e8a616a34ec649579f
SHA256: a1798aa9becb4cc20ad13f245b320996f2158980d081af1dd5fd3eef4db1ca88
Description-en: 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: c37c5d40c22d603fd8b3f96a5dc3e60a
Homepage: https://mlpy.fbk.eu/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: optional
Section: universe/doc
Installed-Size: 952
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: all
Source: mlpy
Version: 2.2.0~dfsg1-3build2
Depends: libjs-jquery, libjs-underscore
Suggests: python-mlpy
Filename: pool/universe/m/mlpy/python-mlpy-doc_2.2.0~dfsg1-3build2_all.deb
Size: 478514
MD5sum: 27c502be1137a088c51cdc60c63a4e25
SHA1: 95071c1e1b07eb631cc4d4e8a616a34ec649579f
SHA256: a1798aa9becb4cc20ad13f245b320996f2158980d081af1dd5fd3eef4db1ca88
Description-en: 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: c37c5d40c22d603fd8b3f96a5dc3e60a
Homepage: https://mlpy.fbk.eu/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu