%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 * Mon May 29 2023 Python_Bot - 1.3.2-1 - Package Spec generated