How to Install and Uninstall python-simplebayes-doc Package on Ubuntu 21.10 (Impish Indri)

Last updated: December 28,2024

1. Install "python-simplebayes-doc" package

Please follow the steps below to install python-simplebayes-doc on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-simplebayes-doc
            
                    
    
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2. Uninstall "python-simplebayes-doc" package

Please follow the step by step instructions below to uninstall python-simplebayes-doc on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-simplebayes-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-simplebayes-doc package on Ubuntu 21.10 (Impish Indri)

Package: python-simplebayes-doc
Architecture: all
Version: 1.5.7-2
Priority: optional
Section: universe/doc
Source: simplebayes
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Thomas Perret
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 205
Depends: libjs-sphinxdoc (>= 2.4.3-5~), sphinx-rtd-theme-common (>= 0.5.1+dfsg), libjs-jquery, libjs-underscore
Filename: pool/universe/s/simplebayes/python-simplebayes-doc_1.5.7-2_all.deb
Size: 19424
MD5sum: 1a6cbbda543cf3ebc75b33ce04f8607c
SHA1: 7e61b5e302c076c555a2f79b0658347af62b47a5
SHA256: 38b60f838420522d06d68112b2ff2e5515871e8ed566d9ed57e3f81ec7b8888a
SHA512: 61d8f5b5311f8a38a6fa29a29d02964e4e8cca91c2cfca60611e5a3e4a6d013b01a24c88ab5e18d36339e740c108905c731bac7775b75be1c175a60113abe8ef
Homepage: https://github.com/hickeroar/simplebayes
Description-en: Naive bayesian text classifier - documentation
A memory-based, optional-persistence naive bayesian text classifier.
This work is heavily inspired by the Python "redisbayes" module found here:
https://github.com/jart/redisbayes and https://pypi.python.org/pypi/redisbayes
This was written to alleviate the network/time requirements when
using the bayesian classifier to classify large sets of text, or when
attempting to train with very large sets of sample data.
.
This is the common documentation package.
Description-md5: df304faf9c1a96fbe3942aecef092b20