%global _empty_manifest_terminate_build 0 Name: python-hi-ml Version: 0.3.1 Release: 1 Summary: Microsoft Health Futures package containing high level ML components License: MIT License URL: https://github.com/microsoft/hi-ml Source0: https://mirrors.nju.edu.cn/pypi/web/packages/05/e8/48f283a820dd621ac17cb095c75edce9d9bc99643ad3e614ec7c91ad6aa0/hi-ml-0.3.1.tar.gz BuildArch: noarch Requires: python3-dataclasses-json Requires: python3-hi-ml-azure Requires: python3-jinja2 Requires: python3-matplotlib Requires: python3-opencv-python-headless Requires: python3-pandas Requires: python3-pillow Requires: python3-protobuf Requires: python3-pytorch-lightning Requires: python3-rpdb Requires: python3-torchvision Requires: python3-torch %description # Microsoft Health Intelligence Machine Learning Toolbox ## Overview This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models. ## Installation You can install the latest version from `pypi` via ```console pip install hi-ml ``` ## Documentation The detailed package documentation, with examples and API reference, is on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Getting started Examples that illustrate the use of the `hi-ml` toolbox can be found on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Changelog We are relying on Github's auto-generated changelog to describe what went into a release. Please check [each individual release](https://github.com/microsoft/hi-ml/releases) to see a full changelog. ## Links * Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml) * Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye) %package -n python3-hi-ml Summary: Microsoft Health Futures package containing high level ML components Provides: python-hi-ml BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-hi-ml # Microsoft Health Intelligence Machine Learning Toolbox ## Overview This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models. ## Installation You can install the latest version from `pypi` via ```console pip install hi-ml ``` ## Documentation The detailed package documentation, with examples and API reference, is on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Getting started Examples that illustrate the use of the `hi-ml` toolbox can be found on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Changelog We are relying on Github's auto-generated changelog to describe what went into a release. Please check [each individual release](https://github.com/microsoft/hi-ml/releases) to see a full changelog. ## Links * Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml) * Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye) %package help Summary: Development documents and examples for hi-ml Provides: python3-hi-ml-doc %description help # Microsoft Health Intelligence Machine Learning Toolbox ## Overview This toolbox aims at providing low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It helps to simplify and streamline work on deep learning models for healthcare and life sciences, by providing tested components (data loaders, pre-processing), and deep learning models. ## Installation You can install the latest version from `pypi` via ```console pip install hi-ml ``` ## Documentation The detailed package documentation, with examples and API reference, is on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Getting started Examples that illustrate the use of the `hi-ml` toolbox can be found on [readthedocs](https://hi-ml.readthedocs.io/en/latest/). ## Changelog We are relying on Github's auto-generated changelog to describe what went into a release. Please check [each individual release](https://github.com/microsoft/hi-ml/releases) to see a full changelog. ## Links * Github [https://github.com/microsoft/hi-ml](https://github.com/microsoft/hi-ml) * Project InnerEye [http://aka.ms/InnerEye](http://aka.ms/InnerEye) %prep %autosetup -n hi-ml-0.3.1 %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-hi-ml -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 0.3.1-1 - Package Spec generated