How to Install and Uninstall libshogun16 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 19,2024

1. Install "libshogun16" package

Please follow the steps below to install libshogun16 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libshogun16
            
                    
    
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2. Uninstall "libshogun16" package

Here is a brief guide to show you how to uninstall libshogun16 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libshogun16
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libshogun16 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libshogun16
Priority: optional
Section: universe/libs
Installed-Size: 13894
Maintainer: Ubuntu Developers
Original-Maintainer: Soeren Sonnenburg
Architecture: amd64
Source: shogun
Version: 3.2.0-7.3build4
Depends: libarpack2 (>= 2.1), libatlas3-base, libbz2-1.0, libc6 (>= 2.14), libcolpack0v5, libcurl3-gnutls (>= 7.16.2), libgcc1 (>= 1:4.1.1), libglpk36 (>= 4.51), libgomp1 (>= 4.9), libhdf5-10, libjson-c2 (>= 0.10), liblapack3 | liblapack.so.3, liblzma5 (>= 5.1.1alpha+20120614), liblzo2-2, libnlopt0 (>= 2.2.4), libprotobuf9v5, libsnappy1v5, libstdc++6 (>= 5.2), libxml2 (>= 2.7.4), zlib1g (>= 1:1.1.4)
Conflicts: libshogunui0, libshogunui1, libshogunui2, libshogunui3, libshogunui4, libshogunui5, libshogunui6
Filename: pool/universe/s/shogun/libshogun16_3.2.0-7.3build4_amd64.deb
Size: 2814378
MD5sum: dd3cab291f019c0e210ef120b50fdb49
SHA1: cac91e5787dd2216566014bd55132d9966ae4ec0
SHA256: b4552df613d2ab4ee10dcad9fbab19afc9d696a1d41abb1bd27394d0ed953bbf
Description-en: Large Scale Machine Learning Toolbox
SHOGUN - is a new machine learning toolbox with focus on large scale kernel
methods and especially on Support Vector Machines (SVM) with focus to
bioinformatics. It provides a generic SVM object interfacing to several
different SVM implementations. Each of the SVMs can be combined with a variety
of the many kernels implemented. It can deal with weighted linear combination
of a number of sub-kernels, each of which not necessarily working on the same
domain, where an optimal sub-kernel weighting can be learned using Multiple
Kernel Learning. Apart from SVM 2-class classification and regression
problems, a number of linear methods like Linear Discriminant Analysis (LDA),
Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to
train hidden markov models are implemented. The input feature-objects can be
dense, sparse or strings and of type int/short/double/char and can be
converted into different feature types. Chains of preprocessors (e.g.
substracting the mean) can be attached to each feature object allowing for
on-the-fly pre-processing.
.
SHOGUN comes in different flavours, a stand-a-lone version and also with
interfaces to Matlab(tm), R, Octave, Readline and Python. This is the core
library with the machine learning methods and ui helpers all interfaces are
based on.
Description-md5: 6bb0422cfbb53c6d03535e4b9ea0892e
Homepage: http://www.shogun-toolbox.org
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu