gnu: python-autograd: Update to 1.7.0.

* gnu/packages/machine-learning.scm (python-autograd): Update to 1.7.0.
[source]: Use the latest version tag.
[native-inputs]: Remove python-nose, python-setuptools, and
python-wheel; add python-hatchling.

Change-Id: I42cd6b9ce621c1509f459fb947b09d05635fb79b
This commit is contained in:
Sharlatan Hellseher 2025-03-25 12:01:49 +00:00 committed by Andreas Enge
parent ab3a8e1096
commit 7b6f6e9604
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@ -2681,27 +2681,24 @@ Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for Python.")
(license license:expat)))
(define-public python-autograd
(let* ((commit "c6d81ce7eede6db801d4e9a92b27ec5d409d0eab")
(revision "0")
(version (git-version "1.5" revision commit)))
(package
(name "python-autograd")
(home-page "https://github.com/HIPS/autograd")
(version "1.7.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url home-page)
(commit commit)))
(url "https://github.com/HIPS/autograd")
(commit (string-append "v" version))))
(sha256
(base32
"04kljgydng42xlg044h6nbzxpban1ivd6jzb8ydkngfq88ppipfk"))
"1fpnmm3mzw355iq7w751j4mjfcr0yh324cxidba1l22652gg8r8m"))
(file-name (git-file-name name version))))
(version version)
(build-system pyproject-build-system)
(native-inputs
(list python-nose python-pytest python-setuptools python-wheel))
(list python-hatchling python-pytest))
(propagated-inputs
(list python-future python-numpy))
(home-page "https://github.com/HIPS/autograd")
(synopsis "Efficiently computes derivatives of NumPy code")
(description "Autograd can automatically differentiate native Python and
NumPy code. It can handle a large subset of Python's features, including loops,
@ -2711,7 +2708,7 @@ of derivatives. It supports reverse-mode differentiation
scalar-valued functions with respect to array-valued arguments, as well as
forward-mode differentiation, and the two can be composed arbitrarily. The
main intended application of Autograd is gradient-based optimization.")
(license license:expat))))
(license license:expat)))
(define-public lightgbm
(package