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gnu: python-imbalanced-learn: Update to 0.11.0.

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* gnu/packages/machine-learning.scm (python-imbalanced-learn): Update to
0.11.0.
[arguments]<#:test-flags>: Move broken tests from "unbreak-tests" phase to
here.
<#:phases>: Add back some deleted python-keras and tensorflow tests.
[native-inputs]: Add python-keras, python-numpydoc and tensorflow.

Change-Id: Ibc2827e27ee23e0ffb491cb791bba4d1a3f1109d
Signed-off-by: Arun Isaac <arunisaac@systemreboot.net>
This commit is contained in:
Troy Figiel 2023-11-18 00:56:59 +01:00 committed by Arun Isaac
parent ee49611771
commit d20ece07db
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1 changed files with 12 additions and 13 deletions
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@ -1663,39 +1663,38 @@ (define-public python-tslearn
(define-public python-imbalanced-learn
(package
(name "python-imbalanced-learn")
(version "0.9.1")
(version "0.11.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "imbalanced-learn" version))
(sha256
(base32 "0qnrmysnqpc8ii1w5n8mci20gcjhmjr7khvk7f2apdbqc2pgf52f"))))
(base32 "1p4gdgc8nsq0vjmw4y4d2bp9g0m1c23d0zgrzs90pnz6b24ax0km"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags '(list "-k"
;; Although we cannot satify the Tensorflow and Keras requirements
;; (python-keras >= 2.4.3 and tensorflow >= 2.4.3), all tests
;; besides these pass.
"not balanced_batch_generator and not BalancedBatchGenerator")
#:phases '(modify-phases %standard-phases
(add-after 'unpack 'unbreak-tests
(lambda _
;; The doctests require tensorflow
(substitute* "setup.cfg"
(("--doctest-modules")
""))
;; Some tests require a home directory
(setenv "HOME"
(getcwd))
;; We don't have keras
(delete-file "imblearn/keras/tests/test_generator.py")
;; We don't have tensorflow
(delete-file
"imblearn/tensorflow/tests/test_generator.py"))))))
(getcwd)))))))
(propagated-inputs (list python-joblib python-numpy python-scikit-learn
python-scipy python-threadpoolctl))
(native-inputs (list python-black
python-flake8
python-keras
python-mypy
python-numpydoc
python-pandas
python-pytest
python-pytest-cov))
python-pytest-cov
tensorflow))
(home-page "https://github.com/scikit-learn-contrib/imbalanced-learn")
(synopsis "Toolbox for imbalanced dataset in machine learning")
(description