| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.0.40 | 8 | ~amd64 ~x86 | 0 |
# automatically generated by g-sorcery
# please do not edit this file
EAPI=8
REALNAME="${PN}"
LITERALNAME="${PN}"
REALVERSION="${PV}"
DIGEST_SOURCES="yes"
PYTHON_COMPAT=( python{3_11,3_12,3_13,3_14} )
DISTUTILS_USE_PEP517=standalone
inherit python-r1 gs-pypi
DESCRIPTION="The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density"
HOMEPAGE="https://github.com/kaiguender/dddex"
LICENSE="Apache Software License 2.0"
SRC_URI="https://files.pythonhosted.org/packages/source/${REALNAME::1}/${REALNAME}/${REALNAME}-${REALVERSION}.tar.gz"
SOURCEFILE="${REALNAME}-${REALVERSION}.tar.gz"
RESTRICT="test"
SLOT="0"
KEYWORDS="~amd64 ~x86"
IUSE=""
DEPENDENCIES="dev-python/fastcore[${PYTHON_USEDEP}]
>=dev-python/pandas-1.3.0[${PYTHON_USEDEP}]
>=dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}]
dev-python/faiss-cpu[${PYTHON_USEDEP}]
dev-python/lightgbm[${PYTHON_USEDEP}]
>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"
dev-python/fastcore[${PYTHON_USEDEP}]
>=dev-python/pandas-1.3.0[${PYTHON_USEDEP}]
>=dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}]
dev-python/faiss-cpu[${PYTHON_USEDEP}]
dev-python/lightgbm[${PYTHON_USEDEP}]
>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
dev-python/fastcore[${PYTHON_USEDEP}]
>=dev-python/pandas-1.3.0[${PYTHON_USEDEP}]
>=dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}]
dev-python/faiss-cpu[${PYTHON_USEDEP}]
dev-python/lightgbm[${PYTHON_USEDEP}]
>=dev-python/tabulate-0.8.10[${PYTHON_USEDEP}]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | dddex-0.0.40.tar.gz | 15860225 bytes | https://files.pythonhosted.org/packages/source/${REALNAME::1}/dddex/dddex-0.0.40.tar.gz |