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%global _empty_manifest_terminate_build 0
Name: python-shap
Version: 0.41.0
Release: 1
Summary: A unified approach to explain the output of any machine learning model.
License: MIT
URL: http://github.com/slundberg/shap
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ed/bb/b48bb3fe1b47e7673b037ed9627746eb1bf9f3ee5b45289f5ab6a26089ef/shap-0.41.0.tar.gz
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-scikit-learn
Requires: python3-pandas
Requires: python3-tqdm
Requires: python3-packaging
Requires: python3-slicer
Requires: python3-numba
Requires: python3-cloudpickle
Requires: python3-transformers
Requires: python3-ipython
Requires: python3-lime
Requires: python3-pyod
Requires: python3-pyspark
Requires: python3-sphinx-rtd-theme
Requires: python3-pytest-mpl
Requires: python3-nbsphinx
Requires: python3-pytest
Requires: python3-opencv-python
Requires: python3-numpydoc
Requires: python3-xgboost
Requires: python3-torch
Requires: python3-sentencepiece
Requires: python3-matplotlib
Requires: python3-pytest-cov
Requires: python3-catboost
Requires: python3-lightgbm
Requires: python3-sphinx
Requires: python3-matplotlib
Requires: python3-ipython
Requires: python3-numpydoc
Requires: python3-sphinx-rtd-theme
Requires: python3-sphinx
Requires: python3-nbsphinx
Requires: python3-lime
Requires: python3-matplotlib
Requires: python3-ipython
Requires: python3-pytest
Requires: python3-pytest-mpl
Requires: python3-pytest-cov
Requires: python3-xgboost
Requires: python3-lightgbm
Requires: python3-catboost
Requires: python3-pyspark
Requires: python3-pyod
Requires: python3-transformers
Requires: python3-torch
Requires: python3-sentencepiece
Requires: python3-opencv-python
%description
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
%package -n python3-shap
Summary: A unified approach to explain the output of any machine learning model.
Provides: python-shap
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-shap
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
%package help
Summary: Development documents and examples for shap
Provides: python3-shap-doc
%description help
SHAP (SHapley Additive exPlanations) is a unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods and representing the only possible consistent and locally accurate additive feature attribution method based on expectations.
%prep
%autosetup -n shap-0.41.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-shap -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.41.0-1
- Package Spec generated
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