Built a parameter search script that utilizes symbolic regression to aid explainability and bayesian optimization on said regressor to optimize the selection of hyperparameters.
This script uses data from config.json's algorithm hyperparams and training data's performance results. Performance result data can either encompass a singular training instance or an entire algorithm's training directory for a given example environment.
Built a parameter search script that utilizes symbolic regression to aid explainability and bayesian optimization on said regressor to optimize the selection of hyperparameters.
This script uses data from config.json's algorithm hyperparams and training data's performance results. Performance result data can either encompass a singular training instance or an entire algorithm's training directory for a given example environment.