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This repository was archived by the owner on Mar 6, 2021. It is now read-only.
Missing function atleast2d_or_csr() - scikit-learn 0.17.0 #3
Description
Hi
Thanks for the code.
The function atleast2d_or_csr() used in random_layer.py does not seem to be available any more with the new scikit-learn 0.17.0
I managed to work around this temporarily by defining a function by that name which simply returns the matrix without performing any checks.
def atleast2d_or_csr(X):
return X
I'm not sure what checks should be in there or what the equivalent function in the new scikit is though.
Hope this helps
Cheers
Srimal.
Activity
StevenLOL commentedon Jul 26, 2016
From its name , I think it is checking whether the input is at least 2d or a csr matrix .
stgrmks commentedon Nov 4, 2016
scikit-learn/scikit-learn#4457
markuskreitzer commentedon Apr 12, 2017
I fixed this by replacing it with check_array which does the same thing. Trying to figure out how to push this change back to you, but I'm not sure how.
PavithranRick commentedon Oct 16, 2017
Go to the file random_layer.py
Change the line no 27 as "from sklearn.utils import check_random_state, check_array"
Line numbers 111 and 133 as "X = check_array(X)"
This should work fine