Closed thosvarley closed 5 years ago
You can solve this issue by casting the SymbolicSeq list to a numpy ndarray:
Add SymbolicSeq = numpy.array(SymbolicSeq) in line 953.
https://github.com/forrestbao/pyeeg/blob/master/pyeeg/__init__.py#L953
Fixed by typecasting X at the beginning of embed_seq() in commit fdfb243b593e421f49be283f9c4ebbffdb1dcdb3
When I try to run the example code for Information Based Similarity it returns:
information_based_similarity(test1, test2, 8) Traceback (most recent call last):
File "", line 1, in
information_based_similarity(test1, test2, 8)
File "/home/tfv21/anaconda3/lib/python3.6/site-packages/pyeeg/init.py", line 955, in information_based_similarity Wm.append(embed_seq(SymbolicSeq[0], 1, n).tolist())
File "/home/tfv21/anaconda3/lib/python3.6/site-packages/pyeeg/init.py", line 161, in embed_seq shape = (X.size - Tau * (D - 1), D)
AttributeError: 'list' object has no attribute 'size'
I tried changing X.size to len(X), but that threw the same error in the same function (list object has no attribute 'itemsize.'
Please advise.