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gnu: Add python-cma.
* gnu/packages/machine-learning.scm (python-cma): New variable.
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@ -15,7 +15,7 @@
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;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
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;;; Copyright © 2019 Brett Gilio <brettg@gnu.org>
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;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net>
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;;; Copyright © 2020 Konrad Hinsen <konrad.hinsen@fastmail.net>
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;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com>
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;;; Copyright © 2020 Edouard Klein <edk@beaver-labs.com>
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;;; Copyright © 2020, 2021, 2022 Vinicius Monego <monego@posteo.net>
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;;; Copyright © 2020, 2021, 2022, 2023 Vinicius Monego <monego@posteo.net>
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;;; Copyright © 2020, 2021, 2022 Maxim Cournoyer <maxim.cournoyer@gmail.com>
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;;; Copyright © 2020, 2021, 2022 Maxim Cournoyer <maxim.cournoyer@gmail.com>
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;;;
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;;;
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;;; This file is part of GNU Guix.
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;;; This file is part of GNU Guix.
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@ -1400,6 +1400,31 @@ (define-public python-cleanlab-1
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(native-inputs
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(native-inputs
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(list python-pytest))))
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(list python-pytest))))
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(define-public python-cma
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(package
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(name "python-cma")
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(version "3.3.0")
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(source (origin
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(method url-fetch)
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(uri (pypi-uri "cma" version))
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(sha256
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(base32
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"1v31b2vnnr4v6ack7zfmw7zb47vbzjr9nyvx2lbfhyjf7zhbhj5p"))))
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(build-system python-build-system)
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(arguments
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(list #:phases #~(modify-phases %standard-phases
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(replace 'check
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(lambda* (#:key tests? #:allow-other-keys)
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(when tests?
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(invoke "python" "-m" "cma.test")))))))
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(propagated-inputs (list python-numpy))
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(home-page "https://github.com/CMA-ES/pycma")
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(synopsis "Python implementation of CMA-ES")
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(description "This package provides a Python implementation of the
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@acronym{CMA-ES, Covariance Matrix Adaptation Evolution Strategy} algorithm
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and a few related numerical optimization tools.")
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(license license:bsd-3)))
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(define-public python-cmaes
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(define-public python-cmaes
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(package
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(package
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(name "python-cmaes")
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(name "python-cmaes")
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