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dev-python/hypergbm - 0.3.2 (pypi)

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Package Information

Description:
A full pipeline AutoML tool integrated various GBM models
Homepage:
https://github.com/DataCanvasIO/HyperGBM
License:
Apache-2.0

Ebuild Details

Version EAPI Keywords Slot
0.3.2 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 full pipeline AutoML tool integrated various GBM models"

HOMEPAGE="https://github.com/DataCanvasIO/HyperGBM"
LICENSE="Apache-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="all board dask fg notebook shap tests zhcn"
DEPENDENCIES="dev-python/hypernets[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	>=dev-python/fsspec-0.8.0[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	dev-python/imbalanced-learn[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	all? ( dev-python/dask[${PYTHON_USEDEP}] )
	all? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	all? ( dev-python/distributed[${PYTHON_USEDEP}] )
	all? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	all? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	all? ( dev-python/jieba[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	all? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	all? ( dev-python/pytest[${PYTHON_USEDEP}] )
	all? ( dev-python/shap[${PYTHON_USEDEP}] )
	board? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask[${PYTHON_USEDEP}] )
	dask? ( dev-python/distributed[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	fg? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	notebook? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	shap? ( dev-python/shap[${PYTHON_USEDEP}] )
	shap? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	tests? ( dev-python/pytest[${PYTHON_USEDEP}] )
	zhcn? ( dev-python/jieba[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

USE Flags

all
board
dask
fg
notebook
shap
tests
zhcn

Dependencies

RDEPEND

dev-python/hypernets[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	>=dev-python/fsspec-0.8.0[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	dev-python/imbalanced-learn[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	all? ( dev-python/dask[${PYTHON_USEDEP}] )
	all? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	all? ( dev-python/distributed[${PYTHON_USEDEP}] )
	all? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	all? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	all? ( dev-python/jieba[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	all? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	all? ( dev-python/pytest[${PYTHON_USEDEP}] )
	all? ( dev-python/shap[${PYTHON_USEDEP}] )
	board? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask[${PYTHON_USEDEP}] )
	dask? ( dev-python/distributed[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	fg? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	notebook? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	shap? ( dev-python/shap[${PYTHON_USEDEP}] )
	shap? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	tests? ( dev-python/pytest[${PYTHON_USEDEP}] )
	zhcn? ( dev-python/jieba[${PYTHON_USEDEP}] )

BDEPEND

dev-python/hypernets[${PYTHON_USEDEP}]
	>=dev-python/scikit-learn-0.22.1[${PYTHON_USEDEP}]
	>=dev-python/fsspec-0.8.0[${PYTHON_USEDEP}]
	dev-python/lightgbm[${PYTHON_USEDEP}]
	dev-python/xgboost[${PYTHON_USEDEP}]
	dev-python/catboost[${PYTHON_USEDEP}]
	dev-python/imbalanced-learn[${PYTHON_USEDEP}]
	dev-python/tqdm[${PYTHON_USEDEP}]
	all? ( dev-python/dask[${PYTHON_USEDEP}] )
	all? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	all? ( dev-python/distributed[${PYTHON_USEDEP}] )
	all? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	all? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	all? ( dev-python/jieba[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	all? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	all? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	all? ( dev-python/pytest[${PYTHON_USEDEP}] )
	all? ( dev-python/shap[${PYTHON_USEDEP}] )
	board? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask[${PYTHON_USEDEP}] )
	dask? ( dev-python/distributed[${PYTHON_USEDEP}] )
	dask? ( dev-python/dask-ml[${PYTHON_USEDEP}] )
	fg? ( dev-python/featuretools[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab[${PYTHON_USEDEP}] )
	notebook? ( dev-python/ipywidgets[${PYTHON_USEDEP}] )
	notebook? ( dev-python/jupyterlab-widgets[${PYTHON_USEDEP}] )
	shap? ( dev-python/shap[${PYTHON_USEDEP}] )
	shap? ( <dev-python/matplotlib-3.6[${PYTHON_USEDEP}] )
	tests? ( dev-python/pytest[${PYTHON_USEDEP}] )
	zhcn? ( dev-python/jieba[${PYTHON_USEDEP}] )

Manifest for 0.3.2

Type File Size Source URLs
DIST hypergbm-0.3.2.tar.gz 3320278 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/hypergbm/hypergbm-0.3.2.tar.gz