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

Last updated: November 07,2024

1. Install "python3-hdmedians" package

Learn how to install python3-hdmedians on Ubuntu 21.10 (Impish Indri)


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

In this section, we are going to explain the necessary steps to uninstall python3-hdmedians on Ubuntu 21.10 (Impish Indri):


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

Package: python3-hdmedians
Architecture: amd64
Version: 0.14.1-1build1
Priority: optional
Section: universe/python
Source: python-hdmedians
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 369
Depends: libc6 (>= 2.14), cython3, python3 (<< 3.10), python3 (>= 3.9~), python3-numpy, python3:any
Filename: pool/universe/p/python-hdmedians/python3-hdmedians_0.14.1-1build1_amd64.deb
Size: 103364
MD5sum: e91d11afdb0dae731c5a9d21949aeec5
SHA1: 2e2445ea4c022d40e4f3d51d35e70e6c5c524382
SHA256: 27ab8fb9c1c3712c6e82e545892c742a5363225f413a359c4e3e65c2b573c00f
SHA512: bac173a34c28a99b231c05b2ea558a477935f8ea910df69819a423202a29048cd1c895a4ffed87adb9d11ed083a3d907bc049eb346362194e75fd8070008e69d
Homepage: https://github.com/daleroberts/hdmedians
Description-en: high-dimensional medians in Python3
Various definitions for a high-dimensional median exist and this Python
package provides a number of fast implementations of these definitions.
Medians are extremely useful due to their high breakdown point (up to
50% contamination) and have a number of nice applications in machine
learning, computer vision, and high-dimensional statistics.
.
This package currently has implementations of medoid and geometric
median with support for missing data using NaN.
Description-md5: 82a0e983f6ff42f8d792e9b88a0b998a