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| author | Vinicius Monego <monego@posteo.net> | 2022-12-24 08:03:01 -0300 |
|---|---|---|
| committer | Vinicius Monego <monego@posteo.net> | 2023-02-06 20:09:53 -0300 |
| commit | 1f684d00d25f0f205c4cc4b762d8f56911062581 (patch) | |
| tree | 188e0dea3e788c085f4044e911fc19a711290cef | |
| parent | f3ab5888a0bc6446104ddbba41a413a86eb298e2 (diff) | |
| download | guix-1f684d00d25f0f205c4cc4b762d8f56911062581.tar.gz | |
gnu: Add python-cma.
* gnu/packages/machine-learning.scm (python-cma): New variable.
| -rw-r--r-- | gnu/packages/machine-learning.scm | 27 |
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") |