How to Install and Uninstall python-pomegranate-doc Package on Kali Linux
Last updated: November 26,2024
1. Install "python-pomegranate-doc" package
This guide let you learn how to install python-pomegranate-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
python-pomegranate-doc
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2. Uninstall "python-pomegranate-doc" package
Here is a brief guide to show you how to uninstall python-pomegranate-doc on Kali Linux:
$
sudo apt remove
python-pomegranate-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-pomegranate-doc package on Kali Linux
Package: python-pomegranate-doc
Source: python-pomegranate
Version: 0.14.8-4
Installed-Size: 5382
Maintainer: Debian Python Team
Architecture: all
Size: 5412120
SHA256: 2f8c133ea3a72d2b80a8834d2cd11dcb498623fe6ad7af5f1f3826fa2b50b00b
SHA1: e97b142d46124451ed30b1735e46a90b180ee9b2
MD5sum: 89698de5d559d58e3ed218da1ce4f8f0
Description: documentation accompanying probabilistic modelling library
pomegranate is a package for probabilistic models in Python that is
implemented in cython for speed. It's focus is on merging the easy-to-use
scikit-learn API with the modularity that comes with probabilistic
modeling to allow users to specify complicated models without needing to
worry about implementation details. The models are built from the ground
up with big data processing in mind and so natively support features
like out-of-core learning and parallelism.
.
This is the common documentation package.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/jmschrei/pomegranate
Section: doc
Priority: optional
Filename: pool/main/p/python-pomegranate/python-pomegranate-doc_0.14.8-4_all.deb
Source: python-pomegranate
Version: 0.14.8-4
Installed-Size: 5382
Maintainer: Debian Python Team
Architecture: all
Size: 5412120
SHA256: 2f8c133ea3a72d2b80a8834d2cd11dcb498623fe6ad7af5f1f3826fa2b50b00b
SHA1: e97b142d46124451ed30b1735e46a90b180ee9b2
MD5sum: 89698de5d559d58e3ed218da1ce4f8f0
Description: documentation accompanying probabilistic modelling library
pomegranate is a package for probabilistic models in Python that is
implemented in cython for speed. It's focus is on merging the easy-to-use
scikit-learn API with the modularity that comes with probabilistic
modeling to allow users to specify complicated models without needing to
worry about implementation details. The models are built from the ground
up with big data processing in mind and so natively support features
like out-of-core learning and parallelism.
.
This is the common documentation package.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/jmschrei/pomegranate
Section: doc
Priority: optional
Filename: pool/main/p/python-pomegranate/python-pomegranate-doc_0.14.8-4_all.deb