Thanks Charles!
I installed atlas and lapack and then reinstalled numpy with pip. It works
correctly now.
An easy fix for this for now is raising an exception when numpy is using
its internal version for SVD and the user asked for the full matrices. The
exception message can instruct the user to
On Sat, Sep 27, 2014 at 1:46 PM, Darlan Cavalcante Moreira <
darc...@gmail.com> wrote:
>
> >>> np.__config__.show()
> lapack_info:
> NOT AVAILABLE
> lapack_opt_info:
> NOT AVAILABLE
> blas_info:
> NOT AVAILABLE
> atlas_threads_info:
> NOT AVAILABLE
> blas_src_info:
> NOT AVAILABLE
> atla
>>> np.__config__.show()
lapack_info:
NOT AVAILABLE
lapack_opt_info:
NOT AVAILABLE
blas_info:
NOT AVAILABLE
atlas_threads_info:
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
atlas_blas_info:
NOT AVAILABLE
lapack_src_info:
NOT AVAILABLE
openblas_info:
NOT AVAILABLE
atlas_blas_threads_i
On Sat, Sep 27, 2014 at 10:37 AM, Darlan Cavalcante Moreira <
darc...@gmail.com> wrote:
>
> Some time ago I have reported a bug about the linalg.matrix_rank in
> numpy for complex matrices. This was quickly fixed and to take the
> advantage of the fix I'm now using numpy 1.9.0 installed through pi
Some time ago I have reported a bug about the linalg.matrix_rank in
numpy for complex matrices. This was quickly fixed and to take the
advantage of the fix I'm now using numpy 1.9.0 installed through pip,
instead of the version from my system (Ubuntu 14.04, with numpy version
1.8.1).
However, I h
