'rmse': rmse,
'lrate': current_l_w
}
config_result['results'].append(iteration_result)
print(iteration_str.format(j, k, current_l_w, momentum, mae, rmse))
with open('experiments/{}_{}.json'.format(config_name, name), 'wt') as res_output:
res_output.write(json.dumps(config_result, indent=4))
W,V,H = rbm.get_weights()
print H
if __name__ == "__main__":
experiments = read_experiment(sys.argv[1])
for experiment in experiments:
name = experiment['name']
train_path = experiment['train_path']
test_path = experiment['test_path']
sep = experiment['sep']
configs = experiment['configs']
all_users, all_movies, tests = load_dataset(train_path, test_path,
sep, user_based=True)
for config in configs:
run(name, train_path, config, all_users, all_movies, tests,
None, sep)
}
config_result['results'].append(iteration_result)
print(iteration_str.format(j, k, current_l_w, momentum, mae, rmse))
with open('{}_{}.json'.format(config_name, name), 'wt') as res_output:
res_output.write(json.dumps(config_result, indent=4))
w = rbm.weights.eval()
np.save('weights', w)
if __name__ == "__main__":
path = "../ubased.json"
experiments = read_experiment(path)
for experiment in experiments:
name = experiment['name']
train_path = experiment['train_path']
test_path = experiment['test_path']
sep = experiment['sep']
configs = experiment['configs']
all_users, all_movies, tests = load_dataset(train_path,
test_path,
sep,
user_based=True)
# print all_users
# print len(all_users)
'k': k,
'momentum': momentum,
'mae': mae,
'rmse': rmse,
'lrate': current_l_w
}
config_result['results'].append(iteration_result)
print(iteration_str.format(j, k, current_l_w, momentum, mae, rmse))
with open('{}_{}.json'.format(config_name, name), 'wt') as res_output:
res_output.write(json.dumps(config_result, indent=4))
if __name__ == "__main__":
experiments = read_experiment(sys.argv[1])
for experiment in experiments:
name = experiment['name']
train_path = experiment['train_path']
test_path = experiment['test_path']
sep = experiment['sep']
configs = experiment['configs']
all_users, all_movies, tests = load_dataset(train_path, test_path,
sep, user_based=True)
for config in configs:
run(name, train_path, config, all_users, all_movies, tests,
None, sep)
'momentum': momentum,
'mae': mae,
'rmse': rmse,
'lrate': current_l_w
}
config_result['results'].append(iteration_result)
print(iteration_str.format(j, k, current_l_w, momentum, mae, rmse))
with open('{}_{}.json'.format(config_name, name), 'wt') as res_output:
res_output.write(json.dumps(config_result, indent=4))
if __name__ == "__main__":
experiment = read_experiment(sys.argv[1])[0]
name = experiment['name']
train_path = experiment['train_path']
test_path = experiment['test_path']
sep = experiment['sep']
all_users, all_movies, tests = load_dataset(train_path,
test_path,
sep,
user_based=False)
for config in experiment['configs']:
run(name, train_path, config, all_users, all_movies, tests, None, sep)
