How to Install and Uninstall weka-doc Package on Kali Linux
Last updated: November 22,2024
1. Install "weka-doc" package
This guide let you learn how to install weka-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
weka-doc
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2. Uninstall "weka-doc" package
Please follow the guidance below to uninstall weka-doc on Kali Linux:
$
sudo apt remove
weka-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the weka-doc package on Kali Linux
Package: weka-doc
Source: weka
Version: 3.6.14-4
Installed-Size: 60540
Maintainer: Debian Java Maintainers
Architecture: all
Recommends: weka
Size: 5250780
SHA256: ce62f91f51da5e79021e8db34010859ef9ef8cbf2454bee005e5420e5a2d2c5b
SHA1: 750af31b1e24a974a5adc64c8a13f8315c768d03
MD5sum: b4c529109a51d775a9cc729ccb39c94b
Description: documentation for the Weka machine learning suite
Weka is a collection of machine learning algorithms in Java that can
either be used from the command-line, or called from your own Java
code. Weka is also ideally suited for developing new machine learning
schemes.
.
Implemented schemes cover decision tree inducers, rule learners, model
tree generators, support vector machines, locally weighted regression,
instance-based learning, bagging, boosting, and stacking. Also included
are clustering methods, and an association rule learner. Apart from
actual learning schemes, Weka also contains a large variety of tools
that can be used for pre-processing datasets.
.
This package contains the documentation.
Description-md5:
Homepage: https://www.cs.waikato.ac.nz/~ml/weka/
Tag: devel::doc, devel::lang:java, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/w/weka/weka-doc_3.6.14-4_all.deb
Source: weka
Version: 3.6.14-4
Installed-Size: 60540
Maintainer: Debian Java Maintainers
Architecture: all
Recommends: weka
Size: 5250780
SHA256: ce62f91f51da5e79021e8db34010859ef9ef8cbf2454bee005e5420e5a2d2c5b
SHA1: 750af31b1e24a974a5adc64c8a13f8315c768d03
MD5sum: b4c529109a51d775a9cc729ccb39c94b
Description: documentation for the Weka machine learning suite
Weka is a collection of machine learning algorithms in Java that can
either be used from the command-line, or called from your own Java
code. Weka is also ideally suited for developing new machine learning
schemes.
.
Implemented schemes cover decision tree inducers, rule learners, model
tree generators, support vector machines, locally weighted regression,
instance-based learning, bagging, boosting, and stacking. Also included
are clustering methods, and an association rule learner. Apart from
actual learning schemes, Weka also contains a large variety of tools
that can be used for pre-processing datasets.
.
This package contains the documentation.
Description-md5:
Homepage: https://www.cs.waikato.ac.nz/~ml/weka/
Tag: devel::doc, devel::lang:java, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/w/weka/weka-doc_3.6.14-4_all.deb