[scikit-learn] Fwd: [Numpy-discussion] start of an array (tensor) and dataframe API standardization initiative
Adrin
adrin.jalali at gmail.com
Tue Aug 18 11:11:46 EDT 2020
FYI: Related to the data-frame like discussions we've been having.
---------- Forwarded message ---------
From: Ralf Gommers <ralf.gommers at gmail.com>
Date: Mon., Aug. 17, 2020, 22:35
Subject: [Numpy-discussion] start of an array (tensor) and dataframe API
standardization initiative
To: Discussion of Numerical Python <numpy-discussion at python.org>
Hi all,
I'd like to share this announcement blog post about the creation of a
consortium for array and dataframe API standardization here:
https://data-apis.org/blog/announcing_the_consortium/. It's still in the
beginning stages, but starting to take shape. We have participation from
one or more maintainers of most array and tensor libraries - NumPy,
TensorFlow, PyTorch, MXNet, Dask, JAX, Xarray. Stephan Hoyer, Travis
Oliphant and myself have been providing input from a NumPy perspective.
The effort is very much related to some of the interoperability work we've
been doing in NumPy (e.g. it could provide an answer to what's described in
https://numpy.org/neps/nep-0037-array-module.html#requesting-restricted-subsets-of-numpy-s-api
).
At this point we're looking for feedback from maintainers at a high level
(see the blog post for details).
Also important: the python-record-api tooling and data in its repo has very
granular API usage data, of the kind we could really use when making
decisions that impact backwards compatibility.
Cheers,
Ralf
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion at python.org
https://mail.python.org/mailman/listinfo/numpy-discussion
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20200818/16e33812/attachment.html>
More information about the scikit-learn
mailing list