How to Install and Uninstall vowpal-wabbit Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 23,2024

1. Install "vowpal-wabbit" package

This tutorial shows how to install vowpal-wabbit on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                vowpal-wabbit
            
                    
    
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2. Uninstall "vowpal-wabbit" package

This is a short guide on how to uninstall vowpal-wabbit on Ubuntu 21.10 (Impish Indri):


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

Package: vowpal-wabbit
Architecture: amd64
Version: 8.6.1.dfsg1-1build3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Yaroslav Halchenko
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 250
Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libstdc++6 (>= 9), libvw0 (= 8.6.1.dfsg1-1build3)
Suggests: vowpal-wabbit-doc
Filename: pool/universe/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1build3_amd64.deb
Size: 56472
MD5sum: 92bbb39ea5a6afc518440317b920aa62
SHA1: 99952da8a2097196702108149e72eac95240060e
SHA256: 8b7c21cbe8107b47fce620097660750a5d6fec92dacc69289e34a82b26ddee75
SHA512: 8b78009c6024b2c28eec4b1bb15f7dda15656b9ffbb6d3a7ec2ba6b9c79eae3401251318d7d759fc5d5d8589e7cda4043f28c61644d4373188d5c4c1f8b6556a
Homepage: http://hunch.net/~vw/
Description-en: fast and scalable online machine learning algorithm
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
Description-md5: c504a867f6af312f4a199155e5d24098