Install this version:
emerge -a =dev-python/scikit-optimize-0.9.0If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/scikit-optimize-0.9.0Or alternatively:
emerge --autounmask-write -a =dev-python/scikit-optimize-0.9.0# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_USE_PEP517=setuptools
PYPI_NO_NORMALIZE=1
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1 pypi
DESCRIPTION="Sequential model-based optimization library"
HOMEPAGE="https://scikit-optimize.github.io/"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~arm64"
RDEPEND="
>=dev-python/joblib-0.11[${PYTHON_USEDEP}]
>=dev-python/pyaml-16.9[${PYTHON_USEDEP}]
dev-python/pyyaml[${PYTHON_USEDEP}]
>=dev-python/matplotlib-2.0.0[${PYTHON_USEDEP}]
>=dev-python/numpy-1.13.3[${PYTHON_USEDEP}]
>=dev-python/scikit-learn-0.20.0[${PYTHON_USEDEP}]
>=dev-python/scipy-0.19.1[${PYTHON_USEDEP}]
"
PATCHES=(
# NumPy 1.24 compatibility (upstream PR #1187).
"${FILESDIR}/${P}-numpy-1.24.patch"
# scikit-learn 1.2 compatibility (upstream PR #1184).
"${FILESDIR}/${P}-scikit-learn-1.2.0.patch"
)
EPYTEST_PLUGINS=()
distutils_enable_tests pytest
>=dev-python/joblib-0.11[] >=dev-python/pyaml-16.9[] dev-python/pyyaml[] >=dev-python/matplotlib-2.0.0[] >=dev-python/numpy-1.13.3[] >=dev-python/scikit-learn-0.20.0[] >=dev-python/scipy-0.19.1[]