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