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

Last updated: November 07,2024

1. Install "dimbl" package

Please follow the guidelines below to install dimbl on Ubuntu 21.10 (Impish Indri)


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

Please follow the instructions below to uninstall dimbl on Ubuntu 21.10 (Impish Indri):


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

Package: dimbl
Architecture: amd64
Version: 0.15-2.1build2
Priority: extra
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 146
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libticcutils8 (>= 0.24), libtimbl4 (>= 6.5)
Filename: pool/universe/d/dimbl/dimbl_0.15-2.1build2_amd64.deb
Size: 61128
MD5sum: 1ce59d5b227851254c0637742f454f3a
SHA1: 13a3f5f4ca6a00ca6bd21d3a4dc3713e52ece9be
SHA256: 176213cfa4bfd5a182ddb7328c6922e0fad24ba92d796748c1361e1ba81e316e
SHA512: 0cfa2bc52329504e5ef1f25814660c82c9ffb2def4d9d6d4829464f48625620e997de8733dd82c90982804457fd229353fc5a1c1e1ab2c119772934fbc8b2e96
Homepage: http://ilk.uvt.nl/dimbl/
Description-en: Distributed Memory Based Learner
Dimbl is a wrapper around the k-nearest neighbor classifier in TiMBL, offering
parallel classification on multi-CPU machines. Dimbl splits the original
training set, builds separate TiMBL classifiers per training subset, and
merges their nearest-neighbor sets per classified instance
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Dimbl's features are:
* Wraps neatly around TiMBL, retaining all command line options;
* Knows what to do with your multiple, duo, or quad cores;
* Makes use of the OpenMP specification for parallel programming;
* Can attain superlinear speed gains compared to standard TiMBL.
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Dimbl is a product of the ILK Research Group (Tilburg University, The
Netherlands).
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If you do scientific research in Natural Language Processing using the
Memory-Based Learning technique, Dimbl will likely be of use to you.
Description-md5: 06587733ff2a291321d9c79bb2c5e523