How to Install and Uninstall python-mlpy-lib Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "python-mlpy-lib" package

Please follow the steps below to install python-mlpy-lib on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-mlpy-lib
            
                    
    
    Copied

2. Uninstall "python-mlpy-lib" package

This guide let you learn how to uninstall python-mlpy-lib on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-mlpy-lib
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-mlpy-lib package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-mlpy-lib
Priority: optional
Section: universe/python
Installed-Size: 255
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian Team
Architecture: amd64
Source: mlpy
Version: 2.2.0~dfsg1-3build2
Provides: python2.7-mlpy-lib
Depends: libc6 (>= 2.4), libgsl2, python-numpy (>= 1:1.8.0), python-numpy-abi9, python (<< 2.8), python (>= 2.7~)
Filename: pool/universe/m/mlpy/python-mlpy-lib_2.2.0~dfsg1-3build2_amd64.deb
Size: 55334
MD5sum: ce0c4b80014cd032e3032de5ba879ff5
SHA1: 846599a8503f6a9be54bcba9f3333c1cba8486ae
SHA256: 3828c073560f063249323ad0a5805cc0705d397ee45d67bfd3239c48889ac2ef
Description-en: low-level implementations and bindings for mlpy
mlpy provides high level procedures that support, with few lines of
code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking,
data resampling, error evaluation and experiment landscaping.
.
This is an add-on package for the mlpy providing compiled core functionality.
Description-md5: ba9bef101432b8ed4e29cb0722f5ba89
Homepage: https://mlpy.fbk.eu/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu