skga 0.0.9

The python package implementing the HyperBRKGA algorithm optimizes hyperparameters of machine learning algorithms through a hybrid approach based on genetic algorithms.

HyperBKRGA

Setting up the Environment

To run any code in this repository, it is necessary to follow these steps:

• Create and activate a virtual environment:

$ python -m venv venv
$ venv/Scripts/activate

• Install the dependencies contained in requirements.txt

pip install -r requirements.txt

Basic Example

With the environment set up, it is possible to run the simplest example as follows:

$ py ./src/examples/basic-example.py

Experiments

To reproduce the experiments carried out in this work, run the src/main.py file. Note that it is a time-consuming program.