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Python Matrix Factorization Module
Seems like this package haven't been updated quite a long time, will it be updated to Python 3 in the future?
I may be misunderstanding the documentation, but in the CUR decomposition function I believe crank and rrank are supposed to indicate how many columns and rows to keep, respectively? Right now the code does not work this way. crank seems to have no effect, and rrank acts as the generalized rank k.
The version in pip is old, and it took me a while to find this version.
Currently there are three major forks of this floating around:
This is very unfortunate and confusing for new users.
Could you please canonicalize them in a way that's understandable by users? E.g. delete google code, merge the few changes from mine and make your GitHub repo the only one?
The dependencies are listed in the README, but a requirements.txt
file might be useful to have a machine-readable format.
I installed the pymf package using pip. It successfully installed the package. When I import the package, I receive the following error message.
ImportError: cannot import name 'Kmeans'
Thank you in advance!
Hi,
Thank you for making this the factorization module nmf available.
That said, I can't try your example because I can't install the nmf package, even after installing the cvxopt, numpy packages.
I finally installed pymf3, but the example doesn't work.
Thanks in advance for your help.
AttributeError Traceback (most recent call last)
in
2 import pymf3 as pymf
3 data = np.array([[1.0, 0.0, 2.0], [0.0, 1.0, 1.0]])
----> 4 nmf_mdl = pymf.nmf(data, num_bases=2, niter=10)
5 nmf_mdl.initialization()
6 nmf_mdl.factorize()
AttributeError: module 'pymf3' has no attribute 'nmf'
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