How to Install and Uninstall libalgorithm-svm-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 24,2024

1. Install "libalgorithm-svm-perl" package

Learn how to install libalgorithm-svm-perl on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libalgorithm-svm-perl
            
                    
    
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2. Uninstall "libalgorithm-svm-perl" package

Here is a brief guide to show you how to uninstall libalgorithm-svm-perl on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libalgorithm-svm-perl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libalgorithm-svm-perl package on Ubuntu 21.10 (Impish Indri)

Package: libalgorithm-svm-perl
Architecture: amd64
Version: 0.13-2build6
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 106
Depends: perl (>= 5.32.0-4), perlapi-5.32.0, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libsvm3 (>= 3.21+ds)
Filename: pool/universe/liba/libalgorithm-svm-perl/libalgorithm-svm-perl_0.13-2build6_amd64.deb
Size: 29392
MD5sum: afd18dcc86a20103d7cdb401583361af
SHA1: 6f85a83cf550a162c54d704ec721b593f3cd3ff5
SHA256: ac7a34ea929aeb2db658f46a0385b28bc24afa612764726a497fc3a9de42eb14
SHA512: 70767414dcae324eb5087b23f4c754663fd37c88f40cebf6464f9ee1932e655a30eaa892afcdeb79a7e443d9dbf76fc1b1e161ff674b4301b2ec075722b893fd
Homepage: https://metacpan.org/release/Algorithm-SVM
Description-en: bindings for the libsvm Support Vector Machine library
Algorithm::SVM implements a Support Vector Machine for Perl. Support Vector
Machines provide a method for creating classifcation functions from a set of
labeled training data, from which predictions can be made for subsequent data
sets.
Description-md5: 1ca6fbf200001c245865456b0f1b7a25