ches-001 / symbolic-regression

end-to-end implementation of symbolic regression with expression trees and genetic optimization algorithm.

Expression Trees for Symbolic Regression with Genetic Optimization Algorithm

How to use:

1. Clone the Repository.

2. Load / simulate your data in the main.py file.

3. Change to your custom nullary, unary and binary operators in the operators.py file.

4. Tune the hyperparameters accordingly.

5. Run the main.py file.

Detailed Explaination of this Repository

For a more detailed explaination and rundown of this implementation, visit my kaggle page: symbolic regression with expression trees