Using an available library for feature selection based on Genetic algorithm feature selection (sklearn-genetic-opt)

The idea is to make it generic and easy to use with the terminal and with logging possibility. A GUI with Napari is planned as next project

See below Repository link

Repository Link

Feature selection

GA_based_feature_selection

Genetic algorithms (GA) Feature Selection based on sklearn-genetic-opt

https://sklearn-genetic-opt.readthedocs.io/en/stable/index.html#sklearn-genetic-opt

Parser for command-line options is implemented

Install

Example with new environment named feature_selection

conda create -n feature_selection -y

conda activate feature_selection

conda install pip -y

pip install -r requirements.txt

Script: GA_based_selection.py

Run in the terminal:

• For help: python GA_based_selection.py -h

• Run with: python GA_based_selection.py with the appropriate arguments

Example:

python GA_based_selection.py -g 5 -p 10 -c 0.2 -m 12

Arguments:

'--generations', '-g', default=5
'--population_size', '-p', default=8
'--crossover_probability', '-c', default=0.1
'--max_features', '-m', default=10

Notes:

A log file and csv files are generated with parameters and selected features. Some plots for evaluation are also created.