def save_example():
# configurations initialization
config_dict = {
'checkpoint_dir': '../saved',
'save_dataset': True,
'save_dataloaders': True,
}
run_recbole(model='BPR', dataset='ml-100k', config_dict=config_dict)
def run_parms(parm_dict, extra_dict=None):
config_dict = {'epochs': 1, 'state': 'INFO'}
for name, parms in parm_dict.items():
for parm in parms:
config_dict[name] = parm
if extra_dict is not None:
config_dict.update(extra_dict)
try:
run_recbole(model='BPR',
dataset='ml-100k',
config_dict=config_dict)
except Exception as e:
logging.critical(f'\ntest `{name}`={parm} ... fail.\n')
return False
return True
def run_test_examples():
test_start_time = time()
success_examples, fail_examples = [], []
n_examples = len(test_examples.keys())
for idx, example in enumerate(test_examples.keys()):
if example in closed_examples:
continue
print('\n\n Begin to run %d / %d example: %s \n\n' % (idx + 1, n_examples, example))
try:
config_dict = test_examples[example]
if 'epochs' not in config_dict:
config_dict['epochs'] = 1
run_recbole(config_dict=config_dict, saved=False)
print('\n\n Running %d / %d example successfully: %s \n\n' % (idx + 1, n_examples, example))
success_examples.append(example)
except Exception:
print(traceback.format_exc())
fail_examples.append(example)
test_end_time = time()
print('total test time: ', test_end_time - test_start_time)
print('success examples: ', success_examples)
print('fail examples: ', fail_examples)
print('\n')
from recbole.quick_start import run_recbole run_recbole()
# @Email : [email protected], [email protected] import argparse from recbole.quick_start import run_recbole if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--model', '-m', type=str, default='BPR', help='name of models') parser.add_argument('--dataset', '-d', type=str, default='ml-100k', help='name of datasets') parser.add_argument('--config_files', type=str, default=None, help='config files') args, _ = parser.parse_known_args() config_file_list = args.config_files.strip().split( ' ') if args.config_files else None run_recbole(model=args.model, dataset=args.dataset, config_file_list=config_file_list)
