Hi all,
This has been mentioned on the community calls, but not on the mailing list, so
a reminder about the Tensor Developer Summit happening at March in Berkeley:
https://xd-con.org/tensor-2020/
We would love to have developers and advanced users of NumPy (or other array
libraries with
On Tue, Feb 18, 2020 at 2:33 PM Jordan wrote:
> I teach finance at IU Bloomington and use the numpy_financial module
> pretty heavily. I've written a couple of functions for bond math for my own
> use (duration, convexity, forward rates, etc.). Is there any appetite for
> expanding
Hi all,
There will be a NumPy Community meeting Wednesday February 19 at 11 am
Pacific Time. Everyone is invited to join in and edit the work-in-
progress meeting topics and notes:
https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both
Best wishes
Sebastian
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On Tue, Feb 18, 2020 at 10:43 AM Sebastian Berg
wrote:
> On Tue, 2020-02-18 at 10:14 -0500, josef.p...@gmail.com wrote:
> > I'm trying to track down test failures of statsmodels against recent
> > master dev versions of numpy and scipy.
> >
> > The core computation is the following in one set of
I have tried to locally reproduce this but cannot. I do not have AVX-512 on my machine. Fortunately we dump CPU info on travis and lo and behold it has AVX-512. *-cpu:0 description: CPU product: Intel(R) Xeon(R) CPU vendor: Intel Corp. physical id: 1001 bus info:
On Tue, 2020-02-18 at 10:14 -0500, josef.p...@gmail.com wrote:
> I'm trying to track down test failures of statsmodels against recent
> master dev versions of numpy and scipy.
>
> The core computation is the following in one set of tests that fail
>
> pvals_corrected_raw = pvals *
I'm trying to track down test failures of statsmodels against recent master
dev versions of numpy and scipy.
The core computation is the following in one set of tests that fail
pvals_corrected_raw = pvals * np.arange(ntests, 0, -1)
pvals_corrected =
