How to Install and Uninstall libocas0 Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "libocas0" package

This guide let you learn how to install libocas0 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libocas0
            
                    
    
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2. Uninstall "libocas0" package

This tutorial shows how to uninstall libocas0 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libocas0
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libocas0 package on Ubuntu 21.10 (Impish Indri)

Package: libocas0
Architecture: amd64
Version: 0.97+dfsg-6
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libocas
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Christian Kastner
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 72
Depends: libc6 (>= 2.29)
Suggests: libocas-tools (= 0.97+dfsg-6)
Filename: pool/universe/libo/libocas/libocas0_0.97+dfsg-6_amd64.deb
Size: 22448
MD5sum: 303edc16f12a3ce443caf8d42c5e0785
SHA1: 26ab33c984d50a695cbf443fdfb2cc0bddddb7ca
SHA256: da864d7f96dbf79c90cb54cf051b767ca7cfcf5b6d9d57bbf287138decdef8bc
SHA512: d6453d81168e42dbed4e5e5fd887dfc8b6a3be9bcb6b0ff0be2327954b7788edc10aeb8f8d6e536f17caa38ed744b801198637e75df00bcc70b4b2a5565927d7
Homepage: http://cmp.felk.cvut.cz/~xfrancv/ocas/html/
Description-en: OCAS solver for training linear SVM classifiers
This library implements Optimized Cutting Plane Algorithm (OCAS) for
training linear Support Vector Machine (SVM) classifiers from
large-scale data. The computational effort of OCAS scales linearly with
the number of training examples. It is one of the fastest SVM solvers
around for solving linear and multiclass L2 regularized SVMs.
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This package contains the shared libraries.
Description-md5: 04f2824e0277572b50b051dfb91c0e1b