strange array size problem
chip9munk at gmail.com
chip9munk at gmail.com
Fri Oct 18 11:52:08 EDT 2013
Interesting!
rank of the whole minus last row
numpy.linalg.matrix_rank(users_elements_matrix[:,0:42]) is 42
but also rank of whole is
numpy.linalg.matrix_rank(users_elements_matrix[:,0:43]) is 42
but what does that mean?!
could you explain briefly what now?
thank you!
On Friday, October 18, 2013 5:44:31 PM UTC+2, Oscar Benjamin wrote:
> On 18 October 2013 16:36, <chip9munk at gmail.com> wrote:
>
> > one more thing.
>
> >
>
> > the problem is not in the last column, if I use it in regression (only that column, or with a few others) I will get the results. But if I use all 43 columns python breaks!
>
>
>
> Have you tried testing the rank with numpy.linalg.matrix_rank? I'm
>
> guessing that the extra row makes the matrix singular (up to floating
>
> point error).
>
>
>
>
>
> Oscar
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