diff options
author | Tobias Geerinckx-Rice <[email protected]> | 2022-08-14 02:00:00 +0200 |
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committer | Tobias Geerinckx-Rice <[email protected]> | 2022-08-14 02:00:00 +0200 |
commit | 5a9c2abf9ecd47f4481c68cc5e57a85c84313645 (patch) | |
tree | b52e3e144fd415c180452e02ef4e830e3a8bb916 /gnu/packages/machine-learning.scm | |
parent | 078d880f8fa52a33064dc1eb323e6547e10e651d (diff) |
gnu: Remove ‘open source’ from package descriptions.
Also do some (trivial) editing where appropriate.
* gnu/packages/bioconductor.scm (r-anaquin, r-rcppnumerical)
[description]: Remove superfluous ‘open source’.
* gnu/packages/debian.scm (apt-mirror)[description]: Likewise.
Add @acronym{}. Drop obscure Ubuntu for famous Trisquel. Reorder.
* gnu/packages/documentation.scm (scrollkeeper)[description]:
Remove superfluous ‘open systems’. Keep ‘Open Source’ in standard name.
* gnu/packages/engineering.scm (freecad, cura-engine)[description]:
Remove superfluous ‘open source’ and excessive puffery.
* gnu/packages/firmware.scm (make-opensbi-package)
[synopsis]: Remove ‘Open Source’. Use @acronym{}.
[description]: Fix first sentence to follow guidelines. Use @acronym{}.
* gnu/packages/game-development.scm (ioquake3, recastnavigation):
[description]: Remove ‘open source’.
* gnu/packages/graphics.scm (skia)[description]: Likewise.
* gnu/packages/lisp-xyz.scm (sbcl-s-sysdeps)[description]: Likewise.
* gnu/packages/machine-learning.scm (onnx)[description]: Likewise.
Use @acronym{}.
* gnu/packages/ocaml.scm (ocaml-cudf)[description]: Likewise.
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r-- | gnu/packages/machine-learning.scm | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index cd0640cd27..c61428486c 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -828,10 +828,10 @@ in terms of new algorithms.") (home-page "https://onnx.ai/") (synopsis "Open Neural Network Exchange") (description - "Open Neural Network Exchange (ONNX) provides an open source format for -AI models, both deep learning and traditional ML. It defines an extensible -computation graph model, as well as definitions of built-in operators and -standard data types.") + "@acronym{ONNX, Open Neural Network Exchange} is a format for AI models, +both deep learning and traditional @acronym{ML, machine learning}. It defines +an extensible computation graph model, as well as definitions of built-in +operators and standard data types.") (license license:expat))) (define-public python-onnx |