ther options on the check_valid keyword arg will be
ignore, and raise.
What should happen when "fix" is passed for check_valid? Set negative
eigenvalues to 0 and symmetrize the matrix?
On Mon, Mar 30, 2015 at 8:34 AM, wrote:
> On Sun, Mar 29, 2015 at 7:39 PM, Blake Griffith
> wrote:
>
I have an open PR which lets users control the checks on the input
covariance matrix. The matrix is required to be symmetric and positve
semi-definite (PSD). The current behavior is that NumPy raises a warning if
the matrix is not PSD, and does not even check for symmetry.
I added a symmetry check
I think a good solution would to use add a git_hooks directory with a
pre-commit git hook along with an git hook installation script. And a note
should be added to DEV_README.txt suggesting installing the git hooks for
pep8 compatibility. I personally use this as a pre-commit
#!/bin/sh
FILES=$(gi
> On Thu, Aug 15, 2013 at 10:48 AM, Blake Griffith <
> blake.a.griff...@gmail.com> wrote:
>
>> I would like to have the ufunc overrides in 1.8 if it is possible.
>>
>>
>> On Thu, Aug 15, 2013 at 9:21 AM, Charles R Harris <
>> charlesr.har...@gmail.com
I would like to have the ufunc overrides in 1.8 if it is possible.
On Thu, Aug 15, 2013 at 9:21 AM, Charles R Harris wrote:
> I don't see any that *have* to go in, but there are a few that could be
> included. The most significant is probably the inplace fancy indexing if it
> is ready. The nan
Hello NumPy,
Part of my GSoC is compatibility with SciPy's sparse matrices and NumPy's
ufuncs. Currently there is no feasible way to do this without changing
ufuncs a bit.
I've been considering a mechanism to override ufuncs based on checking the
ufuncs arguments for a __ufunc_override__ attribut
interested in the initially non zero elements should probably do
something like: sparse.data = np.cos(sparse.data)
On Wed, May 1, 2013 at 1:32 PM, Daπid wrote:
> On 1 May 2013 20:12, Blake Griffith wrote:
> > However, it would still be useful to have ufuncs working well with the
&
Oh wow, I just assumed that `dot` was a ufunc... However, it would still be
useful to have ufuncs working well with the sparse package. I don't
understand everything that is going on in
https://github.com/numpy/numpy/blob/master/numpy/core/src/umath/ufunc_object.c
But I assumed that I would be abl
Hello, I'm writing a GSoC proposal, mostly concerning SciPy, but it
involves a few changes to NumPy.
The proposal is titled: Improvements to the sparse package of Scipy:
support for bool dtype and better interaction with NumPy
and can be found on my GitHub:
https://github.com/cowlicks/GSoC-proposal
