Visualising grid search results

When doing a hyperparameter optimisation using #gridsearch (or other tasks which involve an exhaustive evaluation of the search space) you end up with a large table of scores along with the configuration that generated it. from sklearn.model_selection import ParameterGrid from tqdm.auto import tqdm grid_search = { # model config "add_bias": [True, False], "dropout": [0.1, 0.8], "embedding_size": [8, 16], "lr": [0.001, 0.00001],