How to Install and Uninstall bogofilter-sqlite Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 14,2024

1. Install "bogofilter-sqlite" package

Learn how to install bogofilter-sqlite on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                bogofilter-sqlite
            
                    
    
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2. Uninstall "bogofilter-sqlite" package

This guide let you learn how to uninstall bogofilter-sqlite on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                bogofilter-sqlite
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bogofilter-sqlite package on Ubuntu 20.10 (Groovy Gorilla)

Package: bogofilter-sqlite
Architecture: amd64
Version: 1.2.4+dfsg1-13build1
Priority: optional
Section: universe/mail
Source: bogofilter
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Adrian Bunk
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 636
Provides: bogofilter-db
Depends: bogofilter-common (= 1.2.4+dfsg1-13build1), libc6 (>= 2.29), libgsl25 (>= 2.6), libsqlite3-0 (>= 3.5.9)
Filename: pool/universe/b/bogofilter/bogofilter-sqlite_1.2.4+dfsg1-13build1_amd64.deb
Size: 121808
MD5sum: 5efc112894594db3582a06d77d5c4b9b
SHA1: 3d6ba3a247dbb8ad39079bf171be70e4793d18b5
SHA256: cec79f373d9b92a6937da7bedf8506ce991bf75cbf42c17344298e6d4ad64902
SHA512: 135162b9f0da44b6394e394e502cdf78cb7601ac71f8795385c94af9654a52ad332fc36a2c3a8ab5cc0315d6631fc4cfd1ced39f6118b09f9beb2f675c9e708c
Homepage: http://bogofilter.sourceforge.net/
Description-en: fast Bayesian spam filter (sqlite)
This package implements a fast Bayesian spam filter along the lines suggested
by Paul Graham in his article "A Plan For Spam".
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This version substantially improves on Paul's proposal by doing smarter
lexical analysis. In particular, hostnames and IP addresses are retained
as recognition features rather than broken up. Various kinds of MTA
cruft such as dates and message-IDs are discarded so as not to bloat
the word lists.
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This package provides the sqlite database backend.
Description-md5: 6eb04a1cda23db8196381fcabb2bc183