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author | Wiktor Zelazny <wzelazny@vurv.cz> | 2022-05-18 16:20:27 +0000 |
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committer | Ludovic Courtès <ludo@gnu.org> | 2022-05-29 23:56:05 +0200 |
commit | 6400f08d0749bf68250c28448e64c295bef6695d (patch) | |
tree | 7f5c7bb838d7a817b9ebe030adfe40ecbcfaa854 /gnu/packages/python-science.scm | |
parent | 6dacd15381f5cb42653c207715b8d5c133f93129 (diff) | |
download | guix-6400f08d0749bf68250c28448e64c295bef6695d.tar guix-6400f08d0749bf68250c28448e64c295bef6695d.tar.gz |
gnu: Add python-paramz.
* gnu/packages/python-science.scm (python-paramz): New variable.
Signed-off-by: Ludovic Courtès <ludo@gnu.org>
Diffstat (limited to 'gnu/packages/python-science.scm')
-rw-r--r-- | gnu/packages/python-science.scm | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm index 1e0910b46f..1cab2a389b 100644 --- a/gnu/packages/python-science.scm +++ b/gnu/packages/python-science.scm @@ -1313,3 +1313,37 @@ specification and test suite in Python.") heavily biased to machine learning scenarios. It works on top of @command{numpy} and (partially) @command{gnumpy}.") (license license:bsd-3))) + +(define-public python-paramz + (package + (name "python-paramz") + (version "0.9.5") + (source (origin + (method url-fetch) + (uri (pypi-uri "paramz" version)) + (sha256 + (base32 + "16hbh97kj6b1c2gw22rqnr3w3nqkszh9gj8vgx738gq81wf225q9")))) + (build-system python-build-system) + (propagated-inputs (list python-decorator python-numpy python-scipy + python-six)) + (home-page "https://github.com/sods/paramz") + (synopsis "The Parameterization Framework") + (description + "@command{paramz} is a lightweight parameterization framework +for parameterized model creation and handling. Its features include: + +@itemize + @item Easy model creation with parameters. + @item Fast optimized access of parameters for optimization routines. + @item Memory efficient storage of parameters (only one copy in memory). + @item Renaming of parameters. + @item Intuitive printing of models and parameters. + @item Gradient saving directly inside parameters. + @item Gradient checking of parameters. + @item Optimization of parameters. + @item Jupyter notebook integration. + @item Efficient storage of models, for reloading. + @item Efficient caching. +@end itemize") + (license license:bsd-3))) |