diff options
| -rw-r--r-- | gnu/packages/machine-learning.scm | 17 |
1 files changed, 7 insertions, 10 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 3e90cab813..8b02ad5398 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -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 |