How to Install and Uninstall python3-mlpy Package on Ubuntu 22.10 (Kinetic Kudu)

Last updated: November 07,2024

1. Install "python3-mlpy" package

Please follow the guidelines below to install python3-mlpy on Ubuntu 22.10 (Kinetic Kudu)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-mlpy
            
                    
    
    Copied

2. Uninstall "python3-mlpy" package

This is a short guide on how to uninstall python3-mlpy on Ubuntu 22.10 (Kinetic Kudu):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-mlpy
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-mlpy package on Ubuntu 22.10 (Kinetic Kudu)

Package: python3-mlpy
Architecture: all
Version: 3.5.0+ds-1.3build2
Priority: optional
Section: universe/python
Source: mlpy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 194
Depends: python3-numpy, python3-scipy, python3:any, python3, python3-mlpy-lib (>= 3.5.0+ds-1.3build2)
Suggests: python3-mvpa
Filename: pool/universe/m/mlpy/python3-mlpy_3.5.0+ds-1.3build2_all.deb
Size: 31476
MD5sum: f3d67aed9d323ccee1e51c10f624a59e
SHA1: cd4de0bd761a94e9cac0c3e88c524b0de1ad76c6
SHA256: 2ebee22e1656f7a882f1bd212fc545f9d4a016ef1c93b52b5e0b745ccb0edbb3
SHA512: e0e11b2532e127ba963f508e85f907abae7198a9eed7ae8b3c6e2f699b02f4ba6e8b4efd783d453aab41ccc46a12ea06ff2bd5c5a91fa456a59d846b5d837a54
Homepage: https://mlpy.fbk.eu/
Description: high-performance Python package for predictive modeling
Description-md5: 8aa02b039fb76de9e138e063b8e10fcd