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authorVinicius Monego <monego@posteo.net>2022-12-24 08:03:01 -0300
committerVinicius Monego <monego@posteo.net>2023-02-06 20:09:53 -0300
commit1f684d00d25f0f205c4cc4b762d8f56911062581 (patch)
tree188e0dea3e788c085f4044e911fc19a711290cef /gnu/packages/machine-learning.scm
parentf3ab5888a0bc6446104ddbba41a413a86eb298e2 (diff)
downloadguix-1f684d00d25f0f205c4cc4b762d8f56911062581.tar
guix-1f684d00d25f0f205c4cc4b762d8f56911062581.tar.gz
gnu: Add python-cma.
* gnu/packages/machine-learning.scm (python-cma): New variable.
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r--gnu/packages/machine-learning.scm27
1 files changed, 26 insertions, 1 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index bcee6a6fc3..1cd430de5f 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -15,7 +15,7 @@
;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net>
;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com>
-;;; Copyright © 2020, 2021, 2022 Vinicius Monego <monego@posteo.net>
+;;; Copyright © 2020, 2021, 2022, 2023 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2020, 2021, 2022 Maxim Cournoyer <maxim.cournoyer@gmail.com>
;;;
;;; This file is part of GNU Guix.
@@ -1400,6 +1400,31 @@ data by providing clean labels during training.")
(native-inputs
(list python-pytest))))
+(define-public python-cma
+ (package
+ (name "python-cma")
+ (version "3.3.0")
+ (source (origin
+ (method url-fetch)
+ (uri (pypi-uri "cma" version))
+ (sha256
+ (base32
+ "1v31b2vnnr4v6ack7zfmw7zb47vbzjr9nyvx2lbfhyjf7zhbhj5p"))))
+ (build-system python-build-system)
+ (arguments
+ (list #:phases #~(modify-phases %standard-phases
+ (replace 'check
+ (lambda* (#:key tests? #:allow-other-keys)
+ (when tests?
+ (invoke "python" "-m" "cma.test")))))))
+ (propagated-inputs (list python-numpy))
+ (home-page "https://github.com/CMA-ES/pycma")
+ (synopsis "Python implementation of CMA-ES")
+ (description "This package provides a Python implementation of the
+@acronym{CMA-ES, Covariance Matrix Adaptation Evolution Strategy} algorithm
+and a few related numerical optimization tools.")
+ (license license:bsd-3)))
+
(define-public python-cmaes
(package
(name "python-cmaes")