def main(gt_test, gt_val, train_set, test_set, data_name,
output_dir, n_jobs, n_trails):
os.makedirs(output_dir, exist_ok=False)
cl_args = [
'--gt-test', gt_test,
'--gt-val', gt_val,
'--train-sets', train_set,
'--test-set', test_set,
]
results = fmin(train_decoder,
random_aug_space(cl_args, output_dir, data_name),
n=n_trails, n_jobs=n_jobs)
mhd, (config, base_output_dir, _) = results[0]
print("Min MHD: {}".format(mhd))
print("with config:")
pprint(config)
with open(os.path.join(output_dir, "results.json"), 'w') as f:
json.dump(results, f)
def main(gt_test, gt_val, train_set, test_set, data_name, output_dir, n_jobs,
n_trails):
os.makedirs(output_dir, exist_ok=False)
cl_args = [
'--gt-test',
gt_test,
'--gt-val',
gt_val,
'--train-sets',
train_set,
'--test-set',
test_set,
]
results = fmin(train_decoder,
random_aug_space(cl_args, output_dir, data_name),
n=n_trails,
n_jobs=n_jobs)
mhd, (config, base_output_dir, _) = results[0]
print("Min MHD: {}".format(mhd))
print("with config:")
pprint(config)
with open(os.path.join(output_dir, "results.json"), 'w') as f:
json.dump(results, f)
def test_fmin():
results = fmin(quadratic_function, space_function, n=50, verbose=1)
val, space = results[0]
print(val, space)
assert val <= 0.1