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Package Information

Description:
AI Explainability 360 v0.3.0
Homepage:
https://github.com/Trusted-AI/AIX360

Ebuild Details

Version EAPI Keywords Slot
0.3.0 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="AI Explainability 360 v0.3.0"

HOMEPAGE="https://github.com/Trusted-AI/AIX360"
LICENSE=""
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="cofrnet contrastive default dipvae gce imd lime nncontrastive profwt protodash rbm"
DEPENDENCIES="dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/matplotlib[${PYTHON_USEDEP}]
	cofrnet? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/torch[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/keras[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/requests[${PYTHON_USEDEP}] )
	contrastive? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/scikit-image[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/torch[${PYTHON_USEDEP}] )
	contrastive? ( <dev-python/h5py-3.0.0[${PYTHON_USEDEP}] )
	default? ( dev-python/numpy[${PYTHON_USEDEP}] )
	default? ( dev-python/pandas[${PYTHON_USEDEP}] )
	default? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	default? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torch[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	gce? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	gce? ( dev-python/shap[${PYTHON_USEDEP}] )
	gce? ( dev-python/numba[${PYTHON_USEDEP}] )
	gce? ( dev-python/requests[${PYTHON_USEDEP}] )
	imd? ( dev-python/numpy[${PYTHON_USEDEP}] )
	imd? ( dev-python/pandas[${PYTHON_USEDEP}] )
	imd? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	imd? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	imd? ( dev-python/networkx[${PYTHON_USEDEP}] )
	imd? ( dev-python/graphviz[${PYTHON_USEDEP}] )
	imd? ( dev-python/pygraphviz[${PYTHON_USEDEP}] )
	lime? ( dev-python/lime[${PYTHON_USEDEP}] )
	lime? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	lime? ( dev-python/pandas[${PYTHON_USEDEP}] )
	nncontrastive? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	nncontrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	profwt? ( dev-python/keras[${PYTHON_USEDEP}] )
	profwt? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	profwt? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	protodash? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	protodash? ( dev-python/xport[${PYTHON_USEDEP}] )
	protodash? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	protodash? ( dev-python/cvxpy[${PYTHON_USEDEP}] )
	protodash? ( dev-python/requests[${PYTHON_USEDEP}] )
	rbm? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	rbm? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}] )
	rbm? ( dev-python/cvxpy[${PYTHON_USEDEP}] )"
BDEPEND="${DEPENDENCIES}"
RDEPEND="${DEPENDENCIES}"

USE Flags

cofrnet
contrastive
default
dipvae
gce
imd
lime
nncontrastive
profwt
protodash
rbm

Dependencies

RDEPEND

dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/matplotlib[${PYTHON_USEDEP}]
	cofrnet? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/torch[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/keras[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/requests[${PYTHON_USEDEP}] )
	contrastive? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/scikit-image[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/torch[${PYTHON_USEDEP}] )
	contrastive? ( <dev-python/h5py-3.0.0[${PYTHON_USEDEP}] )
	default? ( dev-python/numpy[${PYTHON_USEDEP}] )
	default? ( dev-python/pandas[${PYTHON_USEDEP}] )
	default? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	default? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torch[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	gce? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	gce? ( dev-python/shap[${PYTHON_USEDEP}] )
	gce? ( dev-python/numba[${PYTHON_USEDEP}] )
	gce? ( dev-python/requests[${PYTHON_USEDEP}] )
	imd? ( dev-python/numpy[${PYTHON_USEDEP}] )
	imd? ( dev-python/pandas[${PYTHON_USEDEP}] )
	imd? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	imd? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	imd? ( dev-python/networkx[${PYTHON_USEDEP}] )
	imd? ( dev-python/graphviz[${PYTHON_USEDEP}] )
	imd? ( dev-python/pygraphviz[${PYTHON_USEDEP}] )
	lime? ( dev-python/lime[${PYTHON_USEDEP}] )
	lime? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	lime? ( dev-python/pandas[${PYTHON_USEDEP}] )
	nncontrastive? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	nncontrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	profwt? ( dev-python/keras[${PYTHON_USEDEP}] )
	profwt? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	profwt? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	protodash? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	protodash? ( dev-python/xport[${PYTHON_USEDEP}] )
	protodash? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	protodash? ( dev-python/cvxpy[${PYTHON_USEDEP}] )
	protodash? ( dev-python/requests[${PYTHON_USEDEP}] )
	rbm? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	rbm? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}] )
	rbm? ( dev-python/cvxpy[${PYTHON_USEDEP}] )

BDEPEND

dev-python/numpy[${PYTHON_USEDEP}]
	dev-python/pandas[${PYTHON_USEDEP}]
	dev-python/scikit-learn[${PYTHON_USEDEP}]
	dev-python/matplotlib[${PYTHON_USEDEP}]
	cofrnet? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/torch[${PYTHON_USEDEP}] )
	cofrnet? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/keras[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/requests[${PYTHON_USEDEP}] )
	contrastive? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/scikit-image[${PYTHON_USEDEP}] )
	contrastive? ( dev-python/torch[${PYTHON_USEDEP}] )
	contrastive? ( <dev-python/h5py-3.0.0[${PYTHON_USEDEP}] )
	default? ( dev-python/numpy[${PYTHON_USEDEP}] )
	default? ( dev-python/pandas[${PYTHON_USEDEP}] )
	default? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	default? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torch[${PYTHON_USEDEP}] )
	dipvae? ( dev-python/torchvision[${PYTHON_USEDEP}] )
	gce? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	gce? ( dev-python/shap[${PYTHON_USEDEP}] )
	gce? ( dev-python/numba[${PYTHON_USEDEP}] )
	gce? ( dev-python/requests[${PYTHON_USEDEP}] )
	imd? ( dev-python/numpy[${PYTHON_USEDEP}] )
	imd? ( dev-python/pandas[${PYTHON_USEDEP}] )
	imd? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	imd? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	imd? ( dev-python/networkx[${PYTHON_USEDEP}] )
	imd? ( dev-python/graphviz[${PYTHON_USEDEP}] )
	imd? ( dev-python/pygraphviz[${PYTHON_USEDEP}] )
	lime? ( dev-python/lime[${PYTHON_USEDEP}] )
	lime? ( dev-python/tqdm[${PYTHON_USEDEP}] )
	lime? ( dev-python/pandas[${PYTHON_USEDEP}] )
	nncontrastive? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	nncontrastive? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	profwt? ( dev-python/keras[${PYTHON_USEDEP}] )
	profwt? ( >=dev-python/scipy-0.17[${PYTHON_USEDEP}] )
	profwt? ( dev-python/tensorflow[${PYTHON_USEDEP}] )
	protodash? ( dev-python/scikit-learn[${PYTHON_USEDEP}] )
	protodash? ( dev-python/xport[${PYTHON_USEDEP}] )
	protodash? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	protodash? ( dev-python/cvxpy[${PYTHON_USEDEP}] )
	protodash? ( dev-python/requests[${PYTHON_USEDEP}] )
	rbm? ( dev-python/matplotlib[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/pandas-2.0.0[${PYTHON_USEDEP}] )
	rbm? ( <=dev-python/scipy-1.10.1[${PYTHON_USEDEP}] )
	rbm? ( <dev-python/scikit-learn-1.2.0[${PYTHON_USEDEP}] )
	rbm? ( dev-python/cvxpy[${PYTHON_USEDEP}] )

Manifest for 0.3.0

Type File Size Source URLs
DIST aix360-0.3.0.tar.gz 58219368 bytes https://files.pythonhosted.org/packages/source/${REALNAME::1}/aix360/aix360-0.3.0.tar.gz