# automatically generated by g-sorcery
# please do not edit this file

EAPI=8

REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone

inherit python-r1 gs-pypi

DESCRIPTION="A user-friendly python package for computing and plotting machine learning explainability output."

HOMEPAGE="https://github.com/monte-flora/scikit-explain/"
LICENSE="MIT"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"

SLOT="0"
KEYWORDS="~amd64 ~x86"

IUSE="interactive"
DEPENDENCIES="dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-1.0.0[${PYTHON_USEDEP}]
	dev-python/matplotlib[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	>=dev-python/xarray-0.16.0[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	dev-python/ipywidgets[${PYTHON_USEDEP}]
	dev-python/statsmodels[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.11.0[${PYTHON_USEDEP}]
	interactive? ( dev-python/jupyter[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"