How to Install and Uninstall xgboost Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 10,2024

1. Install "xgboost" package

Please follow the step by step instructions below to install xgboost on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                xgboost
            
                    
    
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2. Uninstall "xgboost" package

Please follow the guidance below to uninstall xgboost on Ubuntu 21.10 (Impish Indri):


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

Package: xgboost
Architecture: amd64
Version: 1.2.1-1
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Deep Learning Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3171
Depends: libxgboost0 (= 1.2.1-1), libc6 (>= 2.29), libdmlc0 (>= 0.0~git20200912.bfad207), libgcc-s1 (>= 3.0), libgomp1 (>= 6), librabit0 (>= 0.0~git20200628.74bf00a), libstdc++6 (>= 9)
Filename: pool/universe/x/xgboost/xgboost_1.2.1-1_amd64.deb
Size: 974796
MD5sum: d81f7a671603816ac798589f11ccd8b5
SHA1: dd12143960598ad2bf2bfbf2b462472a619e570c
SHA256: 0fc0b09df77f89ec3b4da42f552e9485f6f04287eb1630fff7a9f868266f4420
SHA512: 3c9a2f8d5500ace9978a7b39d959416aba048fb1f287e7d8f7d65064ae8e0f63657bab52b6846bfbbc566b0a64f94ff41bfb05b26125d04109dbeabf983a9aeb
Homepage: https://xgboost.ai/
Description-en: Scalable and Flexible Gradient Boosting (Executable)
XGBoost is an optimized distributed gradient boosting library designed to be
highly efficient, flexible and portable. It implements machine learning
algorithms under the Gradient Boosting framework. XGBoost provides a parallel
tree boosting (also known as GBDT, GBM) that solve many data science problems
in a fast and accurate way. The same code runs on major distributed environment
(Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of
examples.
Description-md5: fc7664fd20655ba71235ada09a1ccd03