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Hello:
I am facing the below error while using the unsupervised feature selection using Laplacian Score.
Traceback (most recent call last): File "testfs.py", line 13, in score = lap_score.lap_score(frame, W=W) File "/usr/local/lib/python2.7/dist-packages/skfeature/function/similarity_based/lap_score.py", line 42, in lap_score Xt = np.transpose(X) File "/usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py", line 534, in transpose return transpose(axes) TypeError: transpose() takes exactly 1 argument (2 given)
Thanks Sayantan Guha
The text was updated successfully, but these errors were encountered:
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Hello:
I am facing the below error while using the unsupervised feature selection using Laplacian Score.
Traceback (most recent call last):
File "testfs.py", line 13, in
score = lap_score.lap_score(frame, W=W)
File "/usr/local/lib/python2.7/dist-packages/skfeature/function/similarity_based/lap_score.py", line 42, in lap_score
Xt = np.transpose(X)
File "/usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py", line 534, in transpose
return transpose(axes)
TypeError: transpose() takes exactly 1 argument (2 given)
Thanks
Sayantan Guha
The text was updated successfully, but these errors were encountered: