64 bit sklearn decision tree on 32 bit python

[Emmanuel-Cruz]

Hello,

I recently downloaded all dependencies (as you have listed) to all same versions other than openbabel 2.3.2 instead of 2.3.1. When I run the code, I get the following error... Traceback (most recent call last): File "etoxpred.py", line 121, in <module> predicted_values,proba = predict(X,'SA_trained_model_cpu.pkl','Tox_trained_model.pkl') # if cuda is not installed, use the trained_model_cpu File "etoxpred.py", line 113, in predict xtree = joblib.load(tox_model) File "C:\Python27\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 575, in load obj = _unpickle(fobj, filename, mmap_mode) File "C:\Python27\lib\site-packages\sklearn\externals\joblib\numpy_pickle.py", line 507, in _unpickle obj = unpickler.load() File "C:\Python27\lib\pickle.py", line 864, in load dispatch[key](self) File "C:\Python27\lib\pickle.py", line 1139, in load_reduce value = func(*args) File "sklearn\tree\_tree.pyx", line 584, in sklearn.tree._tree.Tree.__cinit__ (sklearn\tree\_tree.c:7533) ValueError: Buffer dtype mismatch, expected 'SIZE_t' but got 'long long'

Which the internet says is from the mismatched bit versions. I could download a 64 bit python, but openbabel only works on 32 bit python. Let me know if you get any issues when trying to run it