def hyperopt(self,
dataset_type: str,
config_save_path: str,
save_dir: str,
flags: List[str] = None):
# Set up command line arguments
raw_args = self.create_raw_hyperopt_args(
dataset_type=dataset_type,
config_save_path=config_save_path,
save_dir=save_dir,
flags=flags)
# Hyperopt
with patch('sys.argv', raw_args):
command_line = ' '.join(raw_args[1:])
print(f'python hyperparameter_optimization.py {command_line}')
chemprop_hyperopt()
"""Optimizes hyperparameters using Bayesian optimization."""
from chemprop.hyperparameter_optimization import chemprop_hyperopt
if __name__ == '__main__':
chemprop_hyperopt()