On 02/12/2016 04:19 PM, Nathan Goldbaum wrote:
https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst
Thanks.
That doesn't cover the backward incompatible change to
assert_almost_equal and assert_array_almost_equal,
right?
___
Num
Hi.
Where can I find the changelog?
It would be good for us to know which changes are done one purpos
without hunting through the issue tracker.
Thanks,
Andy
On 02/09/2016 09:09 PM, Charles R Harris wrote:
Hi All,
I'm pleased to announce the release of NumPy 1.11.0b3. This beta
contains add
On 02/01/2016 04:25 PM, Ralf Gommers wrote:
It would be nice but its not realistic, I doubt most upstreams
that are
not themselves major downstreams are even subscribed to this list.
I'm pretty sure that some core devs from all major scipy stack
packages are subscribed to this l
test()'"
>> This might not be viable right now, but will be made more viable
if pypi starts allowing official Linux wheels, which looks likely to
happen before 1.12... (see PEP 513)
>>
>> On Jan 29, 2016 9:46 AM, "Andreas Mueller" <mailto:t3k...@gmail.co
Is this the point when scikit-learn should build against it?
Or do we wait for an RC?
Also, we need a scipy build against it. Who does that?
Our continuous integration doesn't usually build scipy or numpy, so it
will be a bit tricky to add to our config.
Would you run our master tests? [did we e
Hi all.
I am very happy to announce the release of scikit-learn 0.13.
New features in this release include feature hashing for text processing,
passive-agressive classifiers, faster random forests and many more.
There have also been countless improvements in stability, consistency and
usability.
On 07/27/2012 09:10 PM, Benjamin Root wrote:
On Fri, Jul 27, 2012 at 3:58 PM, Andreas Mueller
mailto:amuel...@ais.uni-bonn.de>> wrote:
Hi Everybody.
The bug is that no error is raised, right?
The docs say
where(condition, [x, y])
x, y : array_like, op
Hi Everybody.
The bug is that no error is raised, right?
The docs say
where(condition, [x, y])
x, y : array_like, optional
Values from which to choose. `x` and `y` need to have the same
shape as `condition`
In the example you gave, x was a scalar.
Cheers,
Andy
