How To Install python3-sklearn-nature-inspired-algorithms on Fedora 36

In this tutorial we learn how to install python3-sklearn-nature-inspired-algorithms in Fedora 36. python3-sklearn-nature-inspired-algorithms is Nature-inspired algorithms for scikit-learn

Introduction

In this tutorial we learn how to install python3-sklearn-nature-inspired-algorithms on Fedora 36.

What is `python3-sklearn-nature-inspired-algorithms`

Nature inspired algorithms for hyper-parameter tuning of scikit-learn models. This package uses algorithms implementation from NiaPy. Documentation is available at https

We can use yum or dnf to install python3-sklearn-nature-inspired-algorithms on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install python3-sklearn-nature-inspired-algorithms.

Install python3-sklearn-nature-inspired-algorithms on Fedora 36 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

After updating yum database, We can install python3-sklearn-nature-inspired-algorithms using dnf by running the following command:

sudo dnf -y install python3-sklearn-nature-inspired-algorithms

Install python3-sklearn-nature-inspired-algorithms on Fedora 36 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

After updating yum database, We can install python3-sklearn-nature-inspired-algorithms using yum by running the following command:

sudo yum -y install python3-sklearn-nature-inspired-algorithms

How To Uninstall python3-sklearn-nature-inspired-algorithms on Fedora 36

To uninstall only the python3-sklearn-nature-inspired-algorithms package we can use the following command:

sudo dnf remove python3-sklearn-nature-inspired-algorithms

python3-sklearn-nature-inspired-algorithms Package Contents on Fedora 36

/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms-0.7.1.dist-info
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms-0.7.1.dist-info/INSTALLER
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms-0.7.1.dist-info/LICENSE
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms-0.7.1.dist-info/METADATA
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms-0.7.1.dist-info/WHEEL
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/__init__.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/__pycache__
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/__pycache__/__init__.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/__pycache__/__init__.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__init__.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/__init__.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/__init__.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/score_by_generation_lineplot.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/score_by_generation_lineplot.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/score_by_generation_violinplot.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/score_by_generation_violinplot.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/score_by_generation_lineplot.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/helpers/score_by_generation_violinplot.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__init__.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/__init__.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/__init__.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_param_grid.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_param_grid.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_parameter_search.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_parameter_search.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_stagnation_stopping_task.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_stagnation_stopping_task.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/nature_inspired_search_cv.cpython-310.opt-1.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/nature_inspired_search_cv.cpython-310.pyc
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/_param_grid.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/_parameter_search.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/_stagnation_stopping_task.py
/usr/lib/python3.10/site-packages/sklearn_nature_inspired_algorithms/model_selection/nature_inspired_search_cv.py
/usr/share/doc/python3-sklearn-nature-inspired-algorithms
/usr/share/doc/python3-sklearn-nature-inspired-algorithms/README.md
/usr/share/licenses/python3-sklearn-nature-inspired-algorithms
/usr/share/licenses/python3-sklearn-nature-inspired-algorithms/LICENSE

References

python3-sklearn-nature-inspired-algorithms website

Summary

In this tutorial we learn how to install python3-sklearn-nature-inspired-algorithms on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).