Chemprop provides a command-line utility, allowing for a simple initiation of hyperparameter optimization jobs. Options for the hyperparameter job such as how many trials to carry out and which hyperparameters to include in the search (options in Table ) can be specified with simple command-line arguments. The optimization initially uses randomly sampled trials, followed by targeted sampling using the Tree-structured Parzen Estimator Hyperparameter optimization is often the most resource-intensive step in model training.