~ruther/guix-local

6c033db8fb19af5baa8274534ea17ac607c194b4 — Vinicius Monego 1 year, 2 months ago c4bde11
gnu: python-pynndescent: Update to 0.5.13.

* gnu/packages/machine-learning.scm (python-pynndescent): Update to
0.5.13.

Change-Id: I8aa5e906a6d2a34be4ed61c37fca4dd7c64fabe3
1 files changed, 9 insertions(+), 10 deletions(-)

M gnu/packages/machine-learning.scm
M gnu/packages/machine-learning.scm => gnu/packages/machine-learning.scm +9 -10
@@ 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, 2023, 2024 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2020-2025 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2020, 2021, 2022, 2023 Maxim Cournoyer <maxim.cournoyer@gmail.com>
;;; Copyright © 2022, 2023, 2024 Nicolas Graves <ngraves@ngraves.fr>
;;; Copyright © 2022 Kiran Shila <me@kiranshila.com>


@@ 2304,22 2304,21 @@ to return meaningful clusters (if there are any).")
(define-public python-pynndescent
  (package
    (name "python-pynndescent")
    (version "0.5.11")
    (version "0.5.13")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "pynndescent" version))
       (sha256
        (base32 "0l5dpdsk5vg7rpay81bncp04119hnl5z7zxjv63jrnm9spcwwi3g"))))
        (base32 "1yq0k15964klz7135gpa7rcpixywzs4zxmcp8p4fw7haxv058hnp"))))
    (build-system pyproject-build-system)
    (native-inputs (list python-pytest python-setuptools python-wheel))
    (propagated-inputs
     (list python-importlib-metadata
           python-joblib
           python-llvmlite
           python-numba
           python-scikit-learn
           python-scipy))
    (propagated-inputs (list python-importlib-metadata
                             python-joblib
                             python-llvmlite
                             python-numba
                             python-scikit-learn
                             python-scipy))
    (home-page "https://github.com/lmcinnes/pynndescent")
    (synopsis "Nearest neighbor descent for approximate nearest neighbors")
    (description