%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.aliyun.com/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
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.1-1
- Package Spec generated