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@@ -0,0 +1 @@ +/skl2onnx-1.14.0.tar.gz diff --git a/python-skl2onnx.spec b/python-skl2onnx.spec new file mode 100644 index 0000000..38e8977 --- /dev/null +++ b/python-skl2onnx.spec @@ -0,0 +1,159 @@ +%global _empty_manifest_terminate_build 0 +Name: python-skl2onnx +Version: 1.14.0 +Release: 1 +Summary: Convert scikit-learn models to ONNX +License: Apache License v2.0 +URL: https://github.com/onnx/sklearn-onnx +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e4/3b/5ef1025362a0408916e5a625a3d876f1b9004318c8cc4d6b9963f65e4822/skl2onnx-1.14.0.tar.gz +BuildArch: noarch + +Requires: python3-onnx +Requires: python3-scikit-learn +Requires: python3-onnxconverter-common + +%description +## Introduction +*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx). +Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring. +All converters are tested with [onnxruntime](https://onnxruntime.ai/). + +## Documentation +Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/). +[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html) +Last supported opset is 15. + +You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue) +or submit a new one. + +## Installation +You can install from [PyPi](https://pypi.org/project/skl2onnx/): +``` +pip install skl2onnx +``` +Or you can install from the source with the latest changes. +``` +pip install git+https://github.com/onnx/sklearn-onnx.git +``` + +## Contribute +We welcome contributions in the form of feedback, ideas, or code. + +## License +[Apache License v2.0](LICENSE) + + +%package -n python3-skl2onnx +Summary: Convert scikit-learn models to ONNX +Provides: python-skl2onnx +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-skl2onnx +## Introduction +*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx). +Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring. +All converters are tested with [onnxruntime](https://onnxruntime.ai/). + +## Documentation +Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/). +[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html) +Last supported opset is 15. + +You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue) +or submit a new one. + +## Installation +You can install from [PyPi](https://pypi.org/project/skl2onnx/): +``` +pip install skl2onnx +``` +Or you can install from the source with the latest changes. +``` +pip install git+https://github.com/onnx/sklearn-onnx.git +``` + +## Contribute +We welcome contributions in the form of feedback, ideas, or code. + +## License +[Apache License v2.0](LICENSE) + + +%package help +Summary: Development documents and examples for skl2onnx +Provides: python3-skl2onnx-doc +%description help +## Introduction +*sklearn-onnx* converts [scikit-learn](https://scikit-learn.org/stable/) models to [ONNX](https://github.com/onnx/onnx). +Once in the ONNX format, you can use tools like [ONNX Runtime](https://github.com/Microsoft/onnxruntime) for high performance scoring. +All converters are tested with [onnxruntime](https://onnxruntime.ai/). + +## Documentation +Full documentation including tutorials is available at [https://onnx.ai/sklearn-onnx/](https://onnx.ai/sklearn-onnx/). +[Supported scikit-learn Models](https://onnx.ai/sklearn-onnx/supported.html) +Last supported opset is 15. + +You may also find answers in [existing issues](https://github.com/onnx/sklearn-onnx/issues?utf8=%E2%9C%93&q=is%3Aissue) +or submit a new one. + +## Installation +You can install from [PyPi](https://pypi.org/project/skl2onnx/): +``` +pip install skl2onnx +``` +Or you can install from the source with the latest changes. +``` +pip install git+https://github.com/onnx/sklearn-onnx.git +``` + +## Contribute +We welcome contributions in the form of feedback, ideas, or code. + +## License +[Apache License v2.0](LICENSE) + + +%prep +%autosetup -n skl2onnx-1.14.0 + +%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-skl2onnx -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.14.0-1 +- Package Spec generated @@ -0,0 +1 @@ +ed61eea698b5ceeb9f5591726afeef59 skl2onnx-1.14.0.tar.gz |