Environment Configuration Reminder

[YongJiao10]

The authors appear to have omitted the environmental details. Based on personal testing, the correct versions required to load the model (sav file) are numpy==1.19.5 and scikit-learn==0.23.2. Newer versions may result in errors.

[lily98933]

when running the nootbook meta_matching_v2.0.ipynb, some errors occur as follows:

path_v20 = os.path.join(path_repo, 'v2.0')
model_v20_path = os.path.join(path_v20, 'models')
sys.path.append(os.path.join(path_repo, "utils"))

check whether v2.0 model files exist and are up-to-date

from CBIG_model_pytorch import check_models_v20
check_models_v20(model_v20_path)

load data

from CBIG_model_pytorch import demean_norm
path_data = os.path.join(path_repo, 'data')
npz = np.load(os.path.join(path_data, 'meta_matching_example_data.npz'))
x_input = npz['x']
y_input = npz['y']
x_input = demean_norm(x_input)

print(x_input.shape, y_input.shape)

---

AssertionError Traceback (most recent call last)
Cell In[14], line 6
4 # check whether v2.0 model files exist and are up-to-date
5 from CBIG_model_pytorch import check_models_v20
----> 6 check_models_v20(model_v20_path)
7 # load data
8 from CBIG_model_pytorch import demean_norm

File ~/public/wzy_stress/meta_matching/utils/CBIG_model_pytorch.py:60, in check_models_v20(model_path)
58 # Update the MD5 hash object with the chunk
59 md5_hash.update(chunk)
---> 60 assert md5_hash.hexdigest() == MD5_ref[model_file],
61 model_file + " is not update-to-date, please download the latest version."

AssertionError: meta_matching_v2.0_model.pkl_torch is not update-to-date, please download the latest version.

it seems like i dont get a latest version of meta_matching_v2.0_model.pkl_torch, but i downloaded it according to the tips