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* [bug#46005] [PATCH] gnu: Add python-lmso-algorithm.
@ 2021-01-20 10:12 guix-patches--- via
  2021-11-03 20:16 ` [bug#46005] [PATCH v2] " phodina via Guix-patches via
  0 siblings, 1 reply; 2+ messages in thread
From: guix-patches--- via @ 2021-01-20 10:12 UTC (permalink / raw)
  To: 46005

master de26d8049032567fd97db310941c6b9c4b06bceb
Author:     Adam Kandur <rndd@tuta.io>
AuthorDate: Wed Jan 20 12:56:31 2021 +0300
Commit:     Adam Kandur <rndd@tuta.io>
CommitDate: Wed Jan 20 12:56:31 2021 +0300

Parent:     100a4f8 gnu: Add pgloader.
Merged:     master
Contained:  master

gnu: Add python-lmso-algorithm.

* gnu/packages/python-xyz.scm (python-lmso-algorithm): New variable.

1 file changed, 32 insertions(+)
gnu/packages/python-xyz.scm | 32 ++++++++++++++++++++++++++++++++

modified   gnu/packages/python-xyz.scm
@@ -9675,6 +9675,38 @@ a hash value.")
 applications from a list of lists of strings.  It supports multi-line rows.")
     (license license:expat)))
 
+(define-public python-lmso-algorithm
+  (package
+    (name "python-lmso-algorithm")
+    (version "1.2")
+    (source
+     (origin
+       (method git-fetch)
+       (uri (git-reference
+             (url "https://github.com/alexgrusu/lmso_algorithm")
+             (commit "463699946d1805c6898ae9789370b1e8a122ccda")))
+       (file-name (git-file-name name version))
+       (sha256 "122kyd1m0l1x79x0sp201bgbg7sb36c2dz7cranbf8g6m69f4w68")))
+    (build-system python-build-system)
+    (arguments
+     '(#:phases
+       (modify-phases %standard-phases
+         (add-before 'build 'delete-egg
+           (lambda* (#:key outputs #:allow-other-keys)
+             ;; Delete the .egg-info directory, to avoid build errors
+             (delete-file-recursively "lmso_algorithm.egg-info"))))))
+    (propagated-inputs
+     `(("python-numpy" ,python-numpy)
+       ("python-scipy" ,python-scipy )))
+    (home-page "https://github.com/alexgrusu/lmso_algorithm")
+    (synopsis "An optimized LMS algorithm")
+    (description "The least-mean-square (LMS) and the normalized least-mean-square (NLMS)
+algorithms require a trade-off between fast convergence and low misadjustment, obtained
+by choosing the control parameters.  In general, time variable parameters are proposed
+according to different rules.  Many studies on the optimization of the NLMS algorithm imply 
+time variable control parameters according some specific criteria.")
+    (license license:gpl3)))
+
 (define-public python-libarchive-c
   (package
     (name "python-libarchive-c")







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