How to Install and Uninstall pan-machine-learning Package on Debian 12 (Bookworm)

Last updated: January 12,2025

You can also install and uninstall the pan-machine-learning on the following distributions in the same way, as they are all based on the Debian system

MX Linux 23
SparkyLinux

1. Install "pan-machine-learning" package

In this section, we are going to explain the necessary steps to install pan-machine-learning on Debian 12 (Bookworm)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                pan-machine-learning
            
                    
    
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2. Uninstall "pan-machine-learning" package

Please follow the steps below to uninstall pan-machine-learning on Debian 12 (Bookworm):


    
        
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                sudo apt remove
            
                        
                pan-machine-learning
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the pan-machine-learning package on Debian 12 (Bookworm)

Package: pan-machine-learning
Source: debian-pan
Version: 0.4
Installed-Size: 25
Maintainer: Debian Pan Team
Architecture: all
Depends: pan-config (= 0.4), pan-tasks (= 0.4)
Recommends: libopencv-dnn-dev, libtorch-test, python3-brian, python3-eagerpy, python3-keras-applications, python3-keras-preprocessing, python3-mdp, python3-onnx, python3-pyclustering, python3-skorch, python3-torch
Suggests: keras-doc, libopencv-dnn4.5, libtorch-thnn, python-tpot-doc, python3-keras, python3-lasagne, python3-onnxlibxnnpack-dev, python3-torch-ignite, python3-tpot
Description: machine learning software
Description-md5: 68149bc73d80e12e1fe95af6bcfff19e
Homepage: https://wiki.debian.org/DebianPAN
Section: metapackages
Priority: optional
Filename: pool/main/d/debian-pan/pan-machine-learning_0.4_all.deb
Size: 5532
MD5sum: 92c28f9f7a9ea68a900247037fbb2b43
SHA256: 4a1ee97b20e9cd9ace0914f073daad1a8047ae9b812665a03007cd0a8a1ed264