GNU bug report logs - #31293
[PATCH] gnu: Add python-autograd

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Package: guix-patches;

Reported by: Fis Trivial <ybbs.daans <at> hotmail.com>

Date: Sat, 28 Apr 2018 03:48:02 UTC

Severity: normal

Tags: patch

Done: ludo <at> gnu.org (Ludovic Courtès)

Bug is archived. No further changes may be made.

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Message #10 received at 31293-done <at> debbugs.gnu.org (full text, mbox):

From: ludo <at> gnu.org (Ludovic Courtès)
To: Fis Trivial <ybbs.daans <at> hotmail.com>
Cc: 31293-done <at> debbugs.gnu.org
Subject: Re: [bug#31293] [PATCH] gnu: Add python-autograd
Date: Sat, 28 Apr 2018 23:33:20 +0200
[Message part 1 (text/plain, inline)]
Fis Trivial <ybbs.daans <at> hotmail.com> skribis:

> * gnu/packages/machine-learning.scm (python-autograd, python2-autograd): New
> variables.

Applied with the changes below.  Thank you!

Ludo’.

[Message part 2 (text/x-patch, inline)]
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index e2b113a70..d3af35e17 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -719,10 +719,10 @@ mining and data analysis.")
                     (replace 'check
                       (lambda _
                         (invoke "py.test" "-v"))))))
-      (synopsis "Efficiently computes derivatives of numpy code")
+      (synopsis "Efficiently computes derivatives of NumPy code")
       (description "Autograd can automatically differentiate native Python and
-Numpy code.  It can handle a large subset of Python's features, including loops
-, ifs, recursion and closures, and it can even take derivatives of derivatives
+NumPy code.  It can handle a large subset of Python's features, including loops,
+ifs, recursion and closures, and it can even take derivatives of derivatives
 of derivatives.  It supports reverse-mode differentiation
 (a.k.a. backpropagation), which means it can efficiently take gradients of
 scalar-valued functions with respect to array-valued arguments, as well as

This bug report was last modified 7 years and 83 days ago.

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