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dev-python/CIMLA - 0.0.18 (pypi)

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Package Information

Description:
Counterfactual Inference by Machine Learning and Attribution Models
Homepage:
https://github.com/PayamDiba/CIMLA
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.0.18 8 ~amd64 ~x86 0
View Raw Ebuild 
# 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="Counterfactual Inference by Machine Learning and Attribution Models"

HOMEPAGE="https://github.com/PayamDiba/CIMLA"
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=""
DEPENDENCIES="dev-python/dask[${PYTHON_USEDEP}]
	~dev-python/h5py-2.10.0[${PYTHON_USEDEP}]
	>dev-python/numpy-1.22[${PYTHON_USEDEP}]
	~dev-python/pandas-1.3.3[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/tensorflow[${PYTHON_USEDEP}]
	dev-python/dask-ml[${PYTHON_USEDEP}]
	~dev-python/tables-3.6[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	~dev-python/scikit-learn-0.24.2[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	~dev-python/pyyaml-5.4.1[${PYTHON_USEDEP}]
	~dev-python/protobuf-3.20[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

dev-python/dask[${PYTHON_USEDEP}]
	~dev-python/h5py-2.10.0[${PYTHON_USEDEP}]
	>dev-python/numpy-1.22[${PYTHON_USEDEP}]
	~dev-python/pandas-1.3.3[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/tensorflow[${PYTHON_USEDEP}]
	dev-python/dask-ml[${PYTHON_USEDEP}]
	~dev-python/tables-3.6[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	~dev-python/scikit-learn-0.24.2[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	~dev-python/pyyaml-5.4.1[${PYTHON_USEDEP}]
	~dev-python/protobuf-3.20[${PYTHON_USEDEP}]

BDEPEND

dev-python/dask[${PYTHON_USEDEP}]
	~dev-python/h5py-2.10.0[${PYTHON_USEDEP}]
	>dev-python/numpy-1.22[${PYTHON_USEDEP}]
	~dev-python/pandas-1.3.3[${PYTHON_USEDEP}]
	dev-python/scipy[${PYTHON_USEDEP}]
	dev-python/tensorflow[${PYTHON_USEDEP}]
	dev-python/dask-ml[${PYTHON_USEDEP}]
	~dev-python/tables-3.6[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	~dev-python/scikit-learn-0.24.2[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	~dev-python/pyyaml-5.4.1[${PYTHON_USEDEP}]
	~dev-python/protobuf-3.20[${PYTHON_USEDEP}]

Manifest for 0.0.18

Type File Size Source URLs
DIST CIMLA-0.0.18.tar.gz 12754 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/CIMLA/CIMLA-0.0.18.tar.gz