How to Install and Uninstall vowpal-wabbit Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "vowpal-wabbit" package

Please follow the step by step instructions below to install vowpal-wabbit on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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

Please follow the instructions below to uninstall vowpal-wabbit on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: vowpal-wabbit
Architecture: amd64
Version: 8.6.1.dfsg1-1build2
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.dfsg1-1build2)
Suggests: vowpal-wabbit-doc
Filename: pool/universe/v/vowpal-wabbit/vowpal-wabbit_8.6.1.dfsg1-1build2_amd64.deb
Size: 56220
MD5sum: 456f303f38b3855d2b4959a9a42bd1ed
SHA1: 3dc221bae74fa09ca3b5c5e46c8e73f70abaea17
SHA256: 6a56219c1750748b2508c6c3ec9462223e364d7c6fb3ae68cf001c373399698e
SHA512: 43dfc802d6029e70ddd9f4422d91c13f3dbf074a85859be878a50673999bce804fd0f584a3d212c11d5944ad2b97d4483e7adabcec76689fdcb5c38c50198812
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