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dev-python/autobmt - 0.2.0 (pypi)

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Package Information

Description:
a modeling tool that automatically builds scorecards and tree models.
Homepage:
https://github.com/ZhengRyan/autobmt
License:
MIT

Ebuild Details

Version EAPI Keywords Slot
0.2.0 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="a modeling tool that automatically builds scorecards and tree models."

HOMEPAGE="https://github.com/ZhengRyan/autobmt"
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/pandas[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.21[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.11.1[${PYTHON_USEDEP}]
	>=dev-python/xlsxwriter-1.3.7[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.1.2[${PYTHON_USEDEP}]
	>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
	dev-python/bayesian-optimization[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	>=dev-python/joblib-0.12[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.10.0[${PYTHON_USEDEP}]"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

Dependencies

RDEPEND

dev-python/pandas[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.21[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.11.1[${PYTHON_USEDEP}]
	>=dev-python/xlsxwriter-1.3.7[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.1.2[${PYTHON_USEDEP}]
	>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
	dev-python/bayesian-optimization[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	>=dev-python/joblib-0.12[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.10.0[${PYTHON_USEDEP}]

BDEPEND

dev-python/pandas[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.21[${PYTHON_USEDEP}]
	>=dev-python/statsmodels-0.11.1[${PYTHON_USEDEP}]
	>=dev-python/xlsxwriter-1.3.7[${PYTHON_USEDEP}]
	>=dev-python/matplotlib-3.1.2[${PYTHON_USEDEP}]
	>=dev-python/openpyxl-3.0.7[${PYTHON_USEDEP}]
	dev-python/bayesian-optimization[${PYTHON_USEDEP}]
	dev-python/shap[${PYTHON_USEDEP}]
	>=dev-python/joblib-0.12[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	>=dev-python/seaborn-0.10.0[${PYTHON_USEDEP}]

Manifest for 0.2.0

Type File Size Source URLs
DIST autobmt-0.2.0.tar.gz 2697893 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/autobmt/autobmt-0.2.0.tar.gz