poli.objective_repository.gfp_cbas.cbas_alphabet_preprocessing.get_experimental_X_y

poli.objective_repository.gfp_cbas.cbas_alphabet_preprocessing.get_experimental_X_y(random_state=1, train_size=5000, return_test=False, return_all=False)

For the GFP testing experiments. Loads the ground truth data (i.e. predictions from the GP model we use as the ground truth), partitions it such that we only observe values below the 20th percentile and adds measurement noise