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diff --git a/python-optunity.spec b/python-optunity.spec new file mode 100644 index 0000000..6499f8b --- /dev/null +++ b/python-optunity.spec @@ -0,0 +1,135 @@ +%global _empty_manifest_terminate_build 0 +Name: python-Optunity +Version: 1.1.1 +Release: 1 +Summary: Optimization routines for hyperparameter tuning. +License: LICENSE.txt +URL: http://www.optunity.net +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/32/4d/d49876a49e105b56755eb5ba06a4848ee8010f7ff9e0f11a13aefed12063/Optunity-1.1.1.tar.gz +BuildArch: noarch + + +%description +Optunity is a library containing various optimizers for hyperparameter tuning. +Hyperparameter tuning is a recurrent problem in many machine learning tasks, +both supervised and unsupervised. Tuning examples include optimizing +regularization or kernel parameters. +From an optimization point of view, the tuning problem can be considered as +follows: the objective function is non-convex, non-differentiable and +typically expensive to evaluate. +This package provides several distinct approaches to solve such problems including +some helpful facilities such as cross-validation and a plethora of score functions. +The Optunity library is implemented in Python and allows straightforward +integration in other machine learning environments, including R and MATLAB. +If you have any comments, suggestions you can get in touch with us at gitter: +To get started with Optunity on Linux, issue the following commands:: + git clone https://github.com/claesenm/optunity.git + echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc +Afterwards, importing ``optunity`` should work in Python:: + #!/usr/bin/env python + import optunity +Optunity is developed at the STADIUS lab of the dept. of electrical engineering +at KU Leuven (ESAT). Optunity is free software, using a BSD license. +For more information, please refer to the following pages: +http://www.optunity.net + +%package -n python3-Optunity +Summary: Optimization routines for hyperparameter tuning. +Provides: python-Optunity +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-Optunity +Optunity is a library containing various optimizers for hyperparameter tuning. +Hyperparameter tuning is a recurrent problem in many machine learning tasks, +both supervised and unsupervised. Tuning examples include optimizing +regularization or kernel parameters. +From an optimization point of view, the tuning problem can be considered as +follows: the objective function is non-convex, non-differentiable and +typically expensive to evaluate. +This package provides several distinct approaches to solve such problems including +some helpful facilities such as cross-validation and a plethora of score functions. +The Optunity library is implemented in Python and allows straightforward +integration in other machine learning environments, including R and MATLAB. +If you have any comments, suggestions you can get in touch with us at gitter: +To get started with Optunity on Linux, issue the following commands:: + git clone https://github.com/claesenm/optunity.git + echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc +Afterwards, importing ``optunity`` should work in Python:: + #!/usr/bin/env python + import optunity +Optunity is developed at the STADIUS lab of the dept. of electrical engineering +at KU Leuven (ESAT). Optunity is free software, using a BSD license. +For more information, please refer to the following pages: +http://www.optunity.net + +%package help +Summary: Development documents and examples for Optunity +Provides: python3-Optunity-doc +%description help +Optunity is a library containing various optimizers for hyperparameter tuning. +Hyperparameter tuning is a recurrent problem in many machine learning tasks, +both supervised and unsupervised. Tuning examples include optimizing +regularization or kernel parameters. +From an optimization point of view, the tuning problem can be considered as +follows: the objective function is non-convex, non-differentiable and +typically expensive to evaluate. +This package provides several distinct approaches to solve such problems including +some helpful facilities such as cross-validation and a plethora of score functions. +The Optunity library is implemented in Python and allows straightforward +integration in other machine learning environments, including R and MATLAB. +If you have any comments, suggestions you can get in touch with us at gitter: +To get started with Optunity on Linux, issue the following commands:: + git clone https://github.com/claesenm/optunity.git + echo "export PYTHONPATH=$PYTHONPATH:$(pwd)/optunity" >> ~/.bashrc +Afterwards, importing ``optunity`` should work in Python:: + #!/usr/bin/env python + import optunity +Optunity is developed at the STADIUS lab of the dept. of electrical engineering +at KU Leuven (ESAT). Optunity is free software, using a BSD license. +For more information, please refer to the following pages: +http://www.optunity.net + +%prep +%autosetup -n Optunity-1.1.1 + +%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-Optunity -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.1-1 +- Package Spec generated |