[SciPy-User] bug in svd ?
Mon Sep 26 08:09:35 CDT 2011
25.09.2011 18:15, pratik kirjoitti:
> I was using the scikits.learn package for pca analysis, but couldn't get
> the desired principal components (which were apparant from the structure
> of the data). So i just took the svd of the covariance matrix of the
> input data (after making the mean 0, of course). But on examining the
> singular values, i found that they are *NOT sorted in decreasing order*
Works for me:
assert (numpy.diff(s) <= 0).all()
What does your `numpy.show_config()` say?
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