How to Install and Uninstall python3-niaarm.noarch Package on Fedora 39

Last updated: October 08,2024

1. Install "python3-niaarm.noarch" package

Please follow the guidance below to install python3-niaarm.noarch on Fedora 39


    
        
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                sudo dnf update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf install
            
                        
                python3-niaarm.noarch
            
                    
    
    Copied

2. Uninstall "python3-niaarm.noarch" package

Please follow the instructions below to uninstall python3-niaarm.noarch on Fedora 39:


    
        
            $
        

        
            
                sudo dnf remove
            
                        
                python3-niaarm.noarch
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo dnf autoremove
            
                    
    
    Copied

3. Information about the python3-niaarm.noarch package on Fedora 39

Last metadata expiration check: 2:07:44 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-niaarm
Version : 0.3.7
Release : 1.fc39
Architecture : noarch
Size : 71 k
Source : python-niaarm-0.3.7-1.fc39.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.