How to Install and Uninstall libroot-tmva-dev Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 26,2024

1. Install "libroot-tmva-dev" package

Please follow the instructions below to install libroot-tmva-dev on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libroot-tmva-dev
            
                    
    
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2. Uninstall "libroot-tmva-dev" package

This is a short guide on how to uninstall libroot-tmva-dev on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                libroot-tmva-dev
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libroot-tmva-dev package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libroot-tmva-dev
Priority: optional
Section: universe/libdevel
Installed-Size: 1029
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: root-system
Version: 5.34.30-0ubuntu8
Depends: libroot-tmva5.34 (= 5.34.30-0ubuntu8), libroot-math-mlp-dev
Filename: pool/universe/r/root-system/libroot-tmva-dev_5.34.30-0ubuntu8_amd64.deb
Size: 124282
MD5sum: 1321565588620919b017fe0eeb8471a6
SHA1: aef5e63594bf41d4995e683779270a35340963ca
SHA256: 3c68edf2be1bfd888f3bdd63ea599591faa24cd610f706740b9bf795a904ea03
Description-en: Toolkit for multivariate data analysis - development files
The ROOT system provides a set of OO frameworks with all the
functionality needed to handle and analyze large amounts of data
efficiently.
.
The Toolkit for Multivariate Analysis (TMVA) provides a
ROOT-integrated environment for the parallel processing and
evaluation of MVA techniques to discriminate signal from background
samples. It presently includes (ranked by complexity):
.
* Rectangular cut optimisation
* Correlated likelihood estimator (PDE approach)
* Multi-dimensional likelihood estimator (PDE - range-search approach)
* Fisher (and Mahalanobis) discriminant
* H-Matrix (chi-squared) estimator
* Artificial Neural Network (two different implementations)
* Boosted Decision Trees
.
The TMVA package includes an implementation for each of these
discrimination techniques, their training and testing (performance
evaluation). In addition all these methods can be tested in parallel,
and hence their performance on a particular data set may easily be
compared.
.
This package provides development files of TMVA package for ROOT.
Description-md5: e724ba00c61d49e62b4591bc8086b6b2
Homepage: http://tmva.sourceforge.net
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu