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%global _empty_manifest_terminate_build 0
Name: python-mlserver-xgboost
Version: 1.3.2
Release: 1
Summary: XGBoost runtime for MLServer
License: Apache 2.0
URL: https://github.com/SeldonIO/MLServer.git
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/da/ac/ba9e2e13d8479a82ca0df7ab3e18a518e907387535e01d06a6ee2fd4bc8f/mlserver-xgboost-1.3.2.tar.gz
BuildArch: noarch
Requires: python3-mlserver
Requires: python3-xgboost[scikit-learn]
%description
# XGBoost runtime for MLServer
This package provides a MLServer runtime compatible with XGBoost.
## Usage
You can install the runtime, alongside `mlserver`, as:
```bash
pip install mlserver mlserver-xgboost
```
For further information on how to use MLServer with XGBoost, you can check out
this [worked out example](../../docs/examples/xgboost/README.md).
## Content Types
If no [content type](../../docs/user-guide/content-type) is present on the
request or metadata, the XGBoost runtime will try to decode the payload as a
[NumPy Array](../../docs/user-guide/content-type).
To avoid this, either send a different content type explicitly, or define the
correct one as part of your [model's
metadata](../../docs/reference/model-settings).
%package -n python3-mlserver-xgboost
Summary: XGBoost runtime for MLServer
Provides: python-mlserver-xgboost
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-mlserver-xgboost
# XGBoost runtime for MLServer
This package provides a MLServer runtime compatible with XGBoost.
## Usage
You can install the runtime, alongside `mlserver`, as:
```bash
pip install mlserver mlserver-xgboost
```
For further information on how to use MLServer with XGBoost, you can check out
this [worked out example](../../docs/examples/xgboost/README.md).
## Content Types
If no [content type](../../docs/user-guide/content-type) is present on the
request or metadata, the XGBoost runtime will try to decode the payload as a
[NumPy Array](../../docs/user-guide/content-type).
To avoid this, either send a different content type explicitly, or define the
correct one as part of your [model's
metadata](../../docs/reference/model-settings).
%package help
Summary: Development documents and examples for mlserver-xgboost
Provides: python3-mlserver-xgboost-doc
%description help
# XGBoost runtime for MLServer
This package provides a MLServer runtime compatible with XGBoost.
## Usage
You can install the runtime, alongside `mlserver`, as:
```bash
pip install mlserver mlserver-xgboost
```
For further information on how to use MLServer with XGBoost, you can check out
this [worked out example](../../docs/examples/xgboost/README.md).
## Content Types
If no [content type](../../docs/user-guide/content-type) is present on the
request or metadata, the XGBoost runtime will try to decode the payload as a
[NumPy Array](../../docs/user-guide/content-type).
To avoid this, either send a different content type explicitly, or define the
correct one as part of your [model's
metadata](../../docs/reference/model-settings).
%prep
%autosetup -n mlserver-xgboost-1.3.2
%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-mlserver-xgboost -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.2-1
- Package Spec generated
|
