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| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-category-encoders.spec | 93 | ||||
| -rw-r--r-- | sources | 1 |
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@@ -0,0 +1 @@ +/category_encoders-2.6.0.tar.gz diff --git a/python-category-encoders.spec b/python-category-encoders.spec new file mode 100644 index 0000000..d7e12bd --- /dev/null +++ b/python-category-encoders.spec @@ -0,0 +1,93 @@ +%global _empty_manifest_terminate_build 0 +Name: python-category-encoders +Version: 2.6.0 +Release: 1 +Summary: A collection of sklearn transformers to encode categorical variables as numeric +License: BSD +URL: https://github.com/scikit-learn-contrib/category_encoders +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/06/e4/1a8dabdeb9ef909a1fc7bd69a0c1c88bf300ec025339fb8323d5f0c696cf/category_encoders-2.6.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn +Requires: python3-scipy +Requires: python3-statsmodels +Requires: python3-pandas +Requires: python3-patsy + +%description +[](https://pepy.tech/project/category-encoders) +[](https://pepy.tech/project/category-encoders) + +[](https://zenodo.org/badge/latestdoi/47077067) +A set of scikit-learn-style transformers for encoding categorical +variables into numeric by means of different techniques. + +%package -n python3-category-encoders +Summary: A collection of sklearn transformers to encode categorical variables as numeric +Provides: python-category-encoders +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-category-encoders +[](https://pepy.tech/project/category-encoders) +[](https://pepy.tech/project/category-encoders) + +[](https://zenodo.org/badge/latestdoi/47077067) +A set of scikit-learn-style transformers for encoding categorical +variables into numeric by means of different techniques. + +%package help +Summary: Development documents and examples for category-encoders +Provides: python3-category-encoders-doc +%description help +[](https://pepy.tech/project/category-encoders) +[](https://pepy.tech/project/category-encoders) + +[](https://zenodo.org/badge/latestdoi/47077067) +A set of scikit-learn-style transformers for encoding categorical +variables into numeric by means of different techniques. + +%prep +%autosetup -n category-encoders-2.6.0 + +%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-category-encoders -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.6.0-1 +- Package Spec generated @@ -0,0 +1 @@ +b005870d4a8f9b56061d15a23de8ecb2 category_encoders-2.6.0.tar.gz |