How to Install and Uninstall liblinear.x86_64 Package on Fedora 35
Last updated: November 29,2024
1. Install "liblinear.x86_64" package
Please follow the instructions below to install liblinear.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
liblinear.x86_64
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2. Uninstall "liblinear.x86_64" package
Here is a brief guide to show you how to uninstall liblinear.x86_64 on Fedora 35:
$
sudo dnf remove
liblinear.x86_64
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$
sudo dnf autoremove
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3. Information about the liblinear.x86_64 package on Fedora 35
Last metadata expiration check: 4:03:25 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : liblinear
Version : 1.94
Release : 29.fc35
Architecture : x86_64
Size : 37 k
Source : liblinear-1.94-29.fc35.src.rpm
Repository : fedora
Summary : Library for Large Linear Classification
URL : http://www.csie.ntu.edu.tw/~cjlin/liblinear
License : BSD
Description : liblinear is an open source library for large-scale linear classification.
: It supports logistic regression and linear support vector machines. It
: provides easy-to-use command-line tools and library calls for users and
: developers. Comprehensive documents are available for both beginners
: and advanced users.
:
: Experiments demonstrate that liblinear is very efficient on large sparse
: data sets. liblinear is the winner of ICML 2008 large-scale learning
: challenge (linear SVM track). It is also used for winning KDD Cup 2010.
Available Packages
Name : liblinear
Version : 1.94
Release : 29.fc35
Architecture : x86_64
Size : 37 k
Source : liblinear-1.94-29.fc35.src.rpm
Repository : fedora
Summary : Library for Large Linear Classification
URL : http://www.csie.ntu.edu.tw/~cjlin/liblinear
License : BSD
Description : liblinear is an open source library for large-scale linear classification.
: It supports logistic regression and linear support vector machines. It
: provides easy-to-use command-line tools and library calls for users and
: developers. Comprehensive documents are available for both beginners
: and advanced users.
:
: Experiments demonstrate that liblinear is very efficient on large sparse
: data sets. liblinear is the winner of ICML 2008 large-scale learning
: challenge (linear SVM track). It is also used for winning KDD Cup 2010.