How to Install and Uninstall libroot-tmva5.34 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: December 24,2024

1. Install "libroot-tmva5.34" package

Here is a brief guide to show you how to install libroot-tmva5.34 on Ubuntu 16.04 LTS (Xenial Xerus)

$ sudo apt update $ sudo apt install libroot-tmva5.34

2. Uninstall "libroot-tmva5.34" package

Please follow the guidelines below to uninstall libroot-tmva5.34 on Ubuntu 16.04 LTS (Xenial Xerus):

$ sudo apt remove libroot-tmva5.34 $ sudo apt autoclean && sudo apt autoremove

3. Information about the libroot-tmva5.34 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: libroot-tmva5.34
Priority: optional
Section: universe/libs
Installed-Size: 5273
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: root-system
Version: 5.34.30-0ubuntu8
Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.0), libroot-core5.34 (>= 5.34.30), libroot-hist5.34 (>= 5.34.30), libroot-io5.34 (>= 5.34.30), libroot-math-mathcore5.34 (>= 5.34.30), libroot-math-matrix5.34 (>= 5.34.30), libroot-math-minuit5.34 (>= 5.34.30), libroot-math-mlp5.34 (>= 5.34.30), libroot-tree-treeplayer5.34 (>= 5.34.30), libroot-tree5.34 (>= 5.34.30), libstdc++6 (>= 5.2), root-plugin-io-xml (>= 5.34.30)
Filename: pool/universe/r/root-system/libroot-tmva5.34_5.34.30-0ubuntu8_amd64.deb
Size: 1342976
MD5sum: 3aec4972a7dffd47e3cac1982956b8dd
SHA1: b4f7b43668e3d2d7ee948aa8ff62fc877aa2c66e
SHA256: 3feb5e6d361ee775892d4ff4a2741598e5900acaa73e5babebced1f77ccf9dec
Description-en: Toolkit for multivariate data analysis
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.
Description-md5: 8bb4ab4cec4b879723c43a9badb1eb97
Multi-Arch: same
Homepage: http://tmva.sourceforge.net
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu