https://sklearn-genetic-opt.readthedocs.io/en/stable/index.html#sklearn-genetic-opt
Parser for command-line options is implemented
Example with new environment named feature_selection
conda create -n feature_selection python=3.9 -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.pywith the appropriate arguments
Example:
python GA_based_selection.py -g 5 -p 10 -c 0.2 -m 12
'--generations', '-g', default=5
'--population_size', '-p', default=8
'--crossover_probability', '-c', default=0.1
'--max_features', '-m', default=10
A log file and csv files are generated with parameters and selected features. Some plots for evaluation are also created.