How to Install and Uninstall python3-pomegranate Package on Kali Linux
Last updated: November 26,2024
1. Install "python3-pomegranate" package
In this section, we are going to explain the necessary steps to install python3-pomegranate on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-pomegranate
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2. Uninstall "python3-pomegranate" package
Please follow the step by step instructions below to uninstall python3-pomegranate on Kali Linux:
$
sudo apt remove
python3-pomegranate
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-pomegranate package on Kali Linux
Package: python3-pomegranate
Source: python-pomegranate
Version: 0.14.8-4
Installed-Size: 46950
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-joblib, python3-networkx, python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3-scipy, python3-yaml, python3:any, libc6 (>= 2.14)
Suggests: python-pomegranate-doc
Size: 4046544
SHA256: 8d00a964dca0e0eaf69aa24c0d7c7772d73c5cecbeacc8ef93b3810e1a3ffdea
SHA1: 816e62b6fc68466c057853dcfdfd3232be432425
MD5sum: ee00f8aa8cc5b1dc95cbe0e34964ec19
Description: Fast, flexible and easy to use probabilistic modelling
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.
Description-md5:
Homepage: https://github.com/jmschrei/pomegranate
Section: science
Priority: optional
Filename: pool/main/p/python-pomegranate/python3-pomegranate_0.14.8-4_amd64.deb
Source: python-pomegranate
Version: 0.14.8-4
Installed-Size: 46950
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-joblib, python3-networkx, python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3-scipy, python3-yaml, python3:any, libc6 (>= 2.14)
Suggests: python-pomegranate-doc
Size: 4046544
SHA256: 8d00a964dca0e0eaf69aa24c0d7c7772d73c5cecbeacc8ef93b3810e1a3ffdea
SHA1: 816e62b6fc68466c057853dcfdfd3232be432425
MD5sum: ee00f8aa8cc5b1dc95cbe0e34964ec19
Description: Fast, flexible and easy to use probabilistic modelling
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.
Description-md5:
Homepage: https://github.com/jmschrei/pomegranate
Section: science
Priority: optional
Filename: pool/main/p/python-pomegranate/python3-pomegranate_0.14.8-4_amd64.deb