%global _empty_manifest_terminate_build 0 Name: python-Galaxy-ML Version: 0.10.0 Release: 1 Summary: Galaxy Machine Learning Library License: MIT License URL: https://github.com/goeckslab/Galaxy-ML/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/32/f5/28fb10cf56cf8d84a9cc6cee355341b0dbe48ca924ccf6bc68714a89319a/Galaxy-ML-0.10.0.tar.gz BuildArch: noarch %description This library contains APIs for [Galaxy](https://github.com/galaxyproject/galaxy) machine learning tools(Galaxy-ML). Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical data. Under the management of unified scikit-learn APIs, cutting-edge machine learning libraries (scikit-learn, tensorflow, mlxtend, imbalanced-learn, and more) are combined together to provide thousands of different pipelines suitable for various needs. In the form of Galalxy tools, Galaxy-ML provides scalabe, reproducible and transparent machine learning computations. This library and tools are hosted at https://github.com/geockslab/Galaxy-ML. The documentation can be found at https://goeckslab.github.io/Galaxy-ML/ %package -n python3-Galaxy-ML Summary: Galaxy Machine Learning Library Provides: python-Galaxy-ML BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-Galaxy-ML This library contains APIs for [Galaxy](https://github.com/galaxyproject/galaxy) machine learning tools(Galaxy-ML). Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical data. Under the management of unified scikit-learn APIs, cutting-edge machine learning libraries (scikit-learn, tensorflow, mlxtend, imbalanced-learn, and more) are combined together to provide thousands of different pipelines suitable for various needs. In the form of Galalxy tools, Galaxy-ML provides scalabe, reproducible and transparent machine learning computations. This library and tools are hosted at https://github.com/geockslab/Galaxy-ML. The documentation can be found at https://goeckslab.github.io/Galaxy-ML/ %package help Summary: Development documents and examples for Galaxy-ML Provides: python3-Galaxy-ML-doc %description help This library contains APIs for [Galaxy](https://github.com/galaxyproject/galaxy) machine learning tools(Galaxy-ML). Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical data. Under the management of unified scikit-learn APIs, cutting-edge machine learning libraries (scikit-learn, tensorflow, mlxtend, imbalanced-learn, and more) are combined together to provide thousands of different pipelines suitable for various needs. In the form of Galalxy tools, Galaxy-ML provides scalabe, reproducible and transparent machine learning computations. This library and tools are hosted at https://github.com/geockslab/Galaxy-ML. The documentation can be found at https://goeckslab.github.io/Galaxy-ML/ %prep %autosetup -n Galaxy-ML-0.10.0 %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-Galaxy-ML -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.10.0-1 - Package Spec generated