Install this version:
emerge -a =dev-python/dask-glm-0.4.0If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/dask-glm-0.4.0Or alternatively:
emerge --autounmask-write -a =dev-python/dask-glm-0.4.0# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1 pypi
DESCRIPTION="Generalized linear models with Dask"
HOMEPAGE="
https://github.com/dask/dask-glm
https://pypi.org/project/dask-glm/
"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~arm64"
RDEPEND="
>=dev-python/cloudpickle-1.0[${PYTHON_USEDEP}]
>=dev-python/dask-2022.1.0[${PYTHON_USEDEP}]
>=dev-python/distributed-2022.1.0[${PYTHON_USEDEP}]
>=dev-python/multipledispatch-0.6.0[${PYTHON_USEDEP}]
>=dev-python/numba-0.59[${PYTHON_USEDEP}]
>=dev-python/numpy-1.21[${PYTHON_USEDEP}]
>=dev-python/scipy-1.7[${PYTHON_USEDEP}]
>=dev-python/scikit-learn-1.0[${PYTHON_USEDEP}]
>=dev-python/sparse-0.15[${PYTHON_USEDEP}]
"
BDEPEND="dev-python/setuptools-scm[${PYTHON_USEDEP}]"
# setuptools_scm cannot derive a version from the gitless sdist.
export SETUPTOOLS_SCM_PRETEND_VERSION="${PV}"
# Test suite needs a dask cluster + the full ML matrix; upstream-tested.
RESTRICT="test"
>=dev-python/cloudpickle-1.0[] >=dev-python/dask-2022.1.0[] >=dev-python/distributed-2022.1.0[] >=dev-python/multipledispatch-0.6.0[] >=dev-python/numba-0.59[] >=dev-python/numpy-1.21[] >=dev-python/scipy-1.7[] >=dev-python/scikit-learn-1.0[] >=dev-python/sparse-0.15[]
dev-python/setuptools-scm[]