How to Install and Uninstall python3-niaarm.noarch Package on Fedora 38
Last updated: October 31,2024
1. Install "python3-niaarm.noarch" package
Here is a brief guide to show you how to install python3-niaarm.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-niaarm.noarch
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2. Uninstall "python3-niaarm.noarch" package
Please follow the step by step instructions below to uninstall python3-niaarm.noarch on Fedora 38:
$
sudo dnf remove
python3-niaarm.noarch
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$
sudo dnf autoremove
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3. Information about the python3-niaarm.noarch package on Fedora 38
Last metadata expiration check: 5:19:41 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-niaarm
Version : 0.3.7
Release : 1.fc38
Architecture : noarch
Size : 72 k
Source : python-niaarm-0.3.7-1.fc38.src.rpm
Repository : updates
Summary : A minimalistic framework for numerical association rule mining
URL : https://github.com/firefly-cpp/NiaARM
License : MIT
Description : NiaARM is a framework for Association Rule Mining based on nature-inspired
: algorithms for optimization. The framework is written fully in Python and
: runs on all platforms. NiaARM allows users to preprocess the data in a
: transaction database automatically, to search for association rules and
: provide a pretty output of the rules found. This framework also supports
: numerical and real-valued types of attributes besides the categorical ones.
: Mining the association rules is defined as an optimization problem, and
: solved using the nature-inspired algorithms that come from the related
: framework called NiaPy.
Available Packages
Name : python3-niaarm
Version : 0.3.7
Release : 1.fc38
Architecture : noarch
Size : 72 k
Source : python-niaarm-0.3.7-1.fc38.src.rpm
Repository : updates
Summary : A minimalistic framework for numerical association rule mining
URL : https://github.com/firefly-cpp/NiaARM
License : MIT
Description : NiaARM is a framework for Association Rule Mining based on nature-inspired
: algorithms for optimization. The framework is written fully in Python and
: runs on all platforms. NiaARM allows users to preprocess the data in a
: transaction database automatically, to search for association rules and
: provide a pretty output of the rules found. This framework also supports
: numerical and real-valued types of attributes besides the categorical ones.
: Mining the association rules is defined as an optimization problem, and
: solved using the nature-inspired algorithms that come from the related
: framework called NiaPy.