How to Install and Uninstall timbl Package on Kali Linux

Last updated: May 08,2024

1. Install "timbl" package

Please follow the guidance below to install timbl on Kali Linux


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

This guide covers the steps necessary to uninstall timbl on Kali Linux:


    
        
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                sudo apt remove
            
                        
                timbl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the timbl package on Kali Linux

Package: timbl
Source: timbl (6.5-3)
Version: 6.5-3+b1
Installed-Size: 238
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), libticcutils8 (>= 0.24), libtimbl4 (>= 6.5)
Size: 79900
SHA256: c15c6ffafba182fdc813a3cb30193d8a377a2caffcb837554f6ba09125fead63
SHA1: 57f58a8c75c777bb70184ccf4b67798cb4dbe1bb
MD5sum: 0cdb2ccea301a005641c005bc3b14105
Description: Tilburg Memory Based Learner
Memory-Based Learning (MBL) is a machine-learning method applicable to a wide
range of tasks in Natural Language Processing (NLP).
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The Tilburg Memory Based Learner, TiMBL, is a tool for NLP research, and for
many other domains where classification tasks are learned from examples. It
is an efficient implementation of k-nearest neighbor classifier.
.
TiMBL's features are:
* Fast, decision-tree-based implementation of k-nearest neighbor
classification;
* Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2 algorithms;
* Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot product, Cosine;
* Feature weighting metrics: information gain, gain ratio, chi squared,
shared variance;
* Distance weighting metrics: inverse, inverse linear, exponential decay;
* Extensive verbosity options to inspect nearest neighbor sets;
* Server functionality and extensive API;
* Fast leave-one-out testing and internal cross-validation;
* and Handles user-defined example weighting.
.
TiMBL is a product of the Centre of Language and Speech Technology
(Radboud University, Nijmegen, The Netherlands), the ILK Research Group
(Tilburg University, The Netherlands) and the CLiPS Research Centre
(University of Antwerp, Belgium).
.
If you do scientific research in NLP, timbl will likely be of use to you.
Description-md5:
Homepage: https://languagemachines.github.io/timbl/
Tag: implemented-in::c++, role::program
Section: science
Priority: optional
Filename: pool/main/t/timbl/timbl_6.5-3+b1_amd64.deb