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pkgbase = python-pyriemann
pkgdesc = Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
pkgver = 0.12
pkgrel = 2
url = https://pyriemann.readthedocs.org
arch = any
license = BSD-3-Clause
checkdepends = python-pytest
checkdepends = python-pytorch
makedepends = python-build
makedepends = python-installer
makedepends = python-setuptools
depends = python>=3.9
depends = python-numpy>=1.25.0
depends = python-scipy
depends = python-scikit-learn>=0.24
depends = python-array-api-compat>=1.11
depends = python-array-api-extra>=0.6
depends = python-joblib
depends = python-matplotlib
optdepends = python-pytorch: PyTorch tensors
source = python-pyRiemann-0.12.tar.gz::https://github.com/pyRiemann/pyRiemann/archive/refs/tags/v0.12.tar.gz
sha256sums = 487ce591454ad82f3b2fcbf7f54d44efd3669f08dfef895f7b365b921071679b
pkgname = python-pyriemann
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