How to Install and Uninstall dimbl Package on Kali Linux
Last updated: November 22,2024
1. Install "dimbl" package
This is a short guide on how to install dimbl on Kali Linux
$
sudo apt update
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$
sudo apt install
dimbl
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2. Uninstall "dimbl" package
This tutorial shows how to uninstall dimbl on Kali Linux:
$
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 Kali Linux
Package: dimbl
Source: dimbl (0.15-2.1)
Version: 0.15-2.1+b1
Installed-Size: 141
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libticcutils8 (>= 0.24), libtimbl4 (>= 6.5)
Size: 62104
SHA256: a8aeb8a2029fe286f4244cd99c5535a2f0f7813802f9710d620ffa8f5bf89a54
SHA1: f56c14142399fc328a878c4db347361e4eb563cf
MD5sum: 46cf660513eb47ac0d5015b0aa101f44
Description: 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
.
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.
.
Dimbl is a product of the ILK Research Group (Tilburg University, The
Netherlands).
.
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:
Homepage: http://ilk.uvt.nl/dimbl/
Tag: implemented-in::c++, role::program
Section: science
Priority: optional
Filename: pool/main/d/dimbl/dimbl_0.15-2.1+b1_amd64.deb
Source: dimbl (0.15-2.1)
Version: 0.15-2.1+b1
Installed-Size: 141
Maintainer: Debian Science Team
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgomp1 (>= 4.9), libstdc++6 (>= 5.2), libticcutils8 (>= 0.24), libtimbl4 (>= 6.5)
Size: 62104
SHA256: a8aeb8a2029fe286f4244cd99c5535a2f0f7813802f9710d620ffa8f5bf89a54
SHA1: f56c14142399fc328a878c4db347361e4eb563cf
MD5sum: 46cf660513eb47ac0d5015b0aa101f44
Description: 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
.
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.
.
Dimbl is a product of the ILK Research Group (Tilburg University, The
Netherlands).
.
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:
Homepage: http://ilk.uvt.nl/dimbl/
Tag: implemented-in::c++, role::program
Section: science
Priority: optional
Filename: pool/main/d/dimbl/dimbl_0.15-2.1+b1_amd64.deb