How to Install and Uninstall python3-pomegranate Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 17,2024

1. Install "python3-pomegranate" package

Please follow the guidelines below to install python3-pomegranate on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-pomegranate
            
                    
    
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2. Uninstall "python3-pomegranate" package

This guide let you learn how to uninstall python3-pomegranate on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-pomegranate
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-pomegranate package on Ubuntu 21.10 (Impish Indri)

Package: python3-pomegranate
Architecture: amd64
Version: 0.13.5-1
Priority: optional
Section: universe/python
Source: python-pomegranate
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 41508
Depends: python3 (<< 3.10), python3 (>= 3.9~), python3-joblib (>= 0.9.0b4), python3-networkx (>= 2.0), python3-numpy, python3-scipy (>= 0.17.0), python3-yaml, python3:any, libc6 (>= 2.14)
Suggests: python-pomegranate-doc
Filename: pool/universe/p/python-pomegranate/python3-pomegranate_0.13.5-1_amd64.deb
Size: 2480904
MD5sum: ae964640ff0457ae373ae190b083ecc6
SHA1: 10ce1f2736d23384d6dd1645ad8031170eea235b
SHA256: 9c3298b272961e67e23e9b293900d1eed37f24e4ae3920626e467b49a95fbf82
SHA512: 6e43f071607faf73fea05e9280debe4a4c842c0872e7d9ff9daea58db0cf0b85109d1871ec22d80e10a2993fe12dbc8c058a301c838516e94326926929928ca0
Homepage: https://github.com/jmschrei/pomegranate
Description-en: Fast, flexible and easy to use probabilistic modelling
pomegranate is a package for probabilistic models in Python that is
implemented in cython for speed. It's focus is on merging the easy-to-use
scikit-learn API with the modularity that comes with probabilistic
modeling to allow users to specify complicated models without needing to
worry about implementation details. The models are built from the ground
up with big data processing in mind and so natively support features
like out-of-core learning and parallelism.
Description-md5: ba0dc885f3a69d46f4d1351609436386