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%global _empty_manifest_terminate_build 0
Name: python-mlagents
Version: 0.30.0
Release: 1
Summary: Unity Machine Learning Agents
License: Apache Software License
URL: https://github.com/Unity-Technologies/ml-agents
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/7c/aa/a3ab7f69807df6f05528d605a89273a69f767f1ce3e037bac40bdfdeec5b/mlagents-0.30.0.tar.gz
BuildArch: noarch
%description
# Unity ML-Agents Trainers
The `mlagents` Python package is part of the
[ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents`
provides a set of reinforcement and imitation learning algorithms designed to be
used with Unity environments. The algorithms interface with the Python API
provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for
more information on `mlagents_envs`.
The algorithms can be accessed using the: `mlagents-learn` access point. See
[here](../docs/Training-ML-Agents.md) for more information on using this
package.
## Installation
Install the `mlagents` package with:
```sh
python -m pip install mlagents==0.30.0
```
## Usage & More Information
For more information on the ML-Agents Toolkit and how to instrument a Unity
scene with the ML-Agents SDK, check out the main
[ML-Agents Toolkit documentation](../docs/Readme.md).
## Limitations
- Resuming self-play from a checkpoint resets the reported ELO to the default
value.
%package -n python3-mlagents
Summary: Unity Machine Learning Agents
Provides: python-mlagents
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-mlagents
# Unity ML-Agents Trainers
The `mlagents` Python package is part of the
[ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents`
provides a set of reinforcement and imitation learning algorithms designed to be
used with Unity environments. The algorithms interface with the Python API
provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for
more information on `mlagents_envs`.
The algorithms can be accessed using the: `mlagents-learn` access point. See
[here](../docs/Training-ML-Agents.md) for more information on using this
package.
## Installation
Install the `mlagents` package with:
```sh
python -m pip install mlagents==0.30.0
```
## Usage & More Information
For more information on the ML-Agents Toolkit and how to instrument a Unity
scene with the ML-Agents SDK, check out the main
[ML-Agents Toolkit documentation](../docs/Readme.md).
## Limitations
- Resuming self-play from a checkpoint resets the reported ELO to the default
value.
%package help
Summary: Development documents and examples for mlagents
Provides: python3-mlagents-doc
%description help
# Unity ML-Agents Trainers
The `mlagents` Python package is part of the
[ML-Agents Toolkit](https://github.com/Unity-Technologies/ml-agents). `mlagents`
provides a set of reinforcement and imitation learning algorithms designed to be
used with Unity environments. The algorithms interface with the Python API
provided by the `mlagents_envs` package. See [here](../docs/Python-LLAPI.md) for
more information on `mlagents_envs`.
The algorithms can be accessed using the: `mlagents-learn` access point. See
[here](../docs/Training-ML-Agents.md) for more information on using this
package.
## Installation
Install the `mlagents` package with:
```sh
python -m pip install mlagents==0.30.0
```
## Usage & More Information
For more information on the ML-Agents Toolkit and how to instrument a Unity
scene with the ML-Agents SDK, check out the main
[ML-Agents Toolkit documentation](../docs/Readme.md).
## Limitations
- Resuming self-play from a checkpoint resets the reported ELO to the default
value.
%prep
%autosetup -n mlagents-0.30.0
%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-mlagents -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.30.0-1
- Package Spec generated
|
