On Sat, Aug 9, 2014 at 10:41 AM, Matthew Brett
wrote:
> Hi,
>
> I would be very happy of some help trying to work out a numpy package
> binary incompatibility.
>
> I'm trying to work out what's happening for this ticket:
>
> https://github.com/scipy/scipy/issues/3863
>
> which I summarized at the
Hi,
I would be very happy of some help trying to work out a numpy package
binary incompatibility.
I'm trying to work out what's happening for this ticket:
https://github.com/scipy/scipy/issues/3863
which I summarized at the end:
https://github.com/scipy/scipy/issues/3863#issuecomment-51669861
Charles R Harris wrote:
> It looks like numpy dot only uses BLAS if ATLAS is present, see
> numpy/core/setup.py. Has anyone done the mods needed to use OpenBLAS? What
> is the current status of using OpenBLAS with numpy?
I thought it also uses BLAS if MKL or Accerate Framework is present, but I
Do it in pure numpy? How about copying the source of numdifftools?
What exactly is the obstacle to using numdifftools? There seem to be no
licensing issues. In my experience, its a crafty piece of work; and
calculating a hessian correctly, accounting for all kinds of nasty floating
point issues, i
Your function looks fairly simple to differentiate by hand, but if you have
access to the gradient (or you estimate it numerically using scipy...),
this function might do the job:
def hessian ( x, the_func, epsilon=1e-8):
"""Numerical approximation to the Hessian
Parameters
---
Hi all,
I am trying to calculate a Hessian. I am using numdifftools for this (
https://pypi.python.org/pypi/Numdifftools).
My question is, is it possible to make it using pure numpy?.
The actual code is like this:
*import numdifftools as nd*
*import numpy as np*
*def log_likelihood(params):*
