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

Last updated: November 24,2024

1. Install "python3-SALib.noarch" package

Please follow the guidelines below to install python3-SALib.noarch on Fedora 39

$ sudo dnf update $ sudo dnf install python3-SALib.noarch

2. Uninstall "python3-SALib.noarch" package

Please follow the steps below to uninstall python3-SALib.noarch on Fedora 39:

$ sudo dnf remove python3-SALib.noarch $ sudo dnf autoremove

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

Last metadata expiration check: 5:00:58 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : python3-SALib
Version : 1.4.7
Release : 4.fc39
Architecture : noarch
Size : 1.4 M
Source : python-SALib-1.4.7-4.fc39.src.rpm
Repository : fedora
Summary : Sensitivity Analysis Library
URL : http://salib.github.io/SALib/
License : MIT
Description : Python implementations of commonly used sensitivity analysis methods. Useful in
: systems modeling to calculate the effects of model inputs or exogenous factors
: on outputs of interest.
:
: Herman, J. and Usher, W. (2017) SALib: An open-source Python library for
: sensitivity analysis. Journal of Open Source Software, 2(9).
:
: Methods included:
:
: - Sobol Sensitivity Analysis (Sobol 2001, Saltelli 2002, Saltelli et al. 2010)
: - Method of Morris, including groups and optimal trajectories (Morris 1991,
: Campolongo et al. 2007)
: - Fourier Amplitude Sensitivity Test (FAST) (Cukier et al. 1973, Saltelli et
: al. 1999)
: - Delta Moment-Independent Measure (Borgonovo 2007, Plischke et al. 2013)
: - Derivative-based Global Sensitivity Measure (DGSM) (Sobol and Kucherenko
: 2009)
: - Fractional Factorial Sensitivity Analysis (Saltelli et al. 2008)

Name : python3-salib
Version : 1.4.7
Release : 21.fc39
Architecture : noarch
Size : 1.4 M
Source : python-SALib-1.4.7-21.fc39.src.rpm
Repository : updates
Summary : Tools for global sensitivity analysis
URL : https://salib.readthedocs.io
License : MIT
Description : Python implementations of commonly used sensitivity analysis methods. Useful in
: systems modeling to calculate the effects of model inputs or exogenous factors
: on outputs of interest.