%global _empty_manifest_terminate_build 0 Name: python-mlserver-mlflow Version: 1.3.1 Release: 1 Summary: MLflow runtime for MLServer License: Apache 2.0 URL: https://github.com/SeldonIO/MLServer.git Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a1/11/33e5697087b561feb025b10cdd895ee8e2185b35b08f1b0538c9f5c7af65/mlserver-mlflow-1.3.1.tar.gz BuildArch: noarch Requires: python3-mlserver Requires: python3-mlflow %description # MLflow runtime for MLServer This package provides a MLServer runtime compatible with [MLflow models](https://www.mlflow.org/docs/latest/models.html). ## Usage You can install the runtime, alongside `mlserver`, as: ```bash pip install mlserver mlserver-mlflow ``` ## Content Types The MLflow inference runtime introduces a new `dict` content type, which decodes an incoming V2 request as a [dictionary of tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models). This is useful for certain MLflow-serialised models, which will expect that the model inputs are serialised in this format. ```{note} The `dict` content type can be _stacked_ with other content types, like [`np`](../../docs/user-guide/content-type). This allows the user to use a different set of content types to decode each of the dict entries. ``` %package -n python3-mlserver-mlflow Summary: MLflow runtime for MLServer Provides: python-mlserver-mlflow BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-mlserver-mlflow # MLflow runtime for MLServer This package provides a MLServer runtime compatible with [MLflow models](https://www.mlflow.org/docs/latest/models.html). ## Usage You can install the runtime, alongside `mlserver`, as: ```bash pip install mlserver mlserver-mlflow ``` ## Content Types The MLflow inference runtime introduces a new `dict` content type, which decodes an incoming V2 request as a [dictionary of tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models). This is useful for certain MLflow-serialised models, which will expect that the model inputs are serialised in this format. ```{note} The `dict` content type can be _stacked_ with other content types, like [`np`](../../docs/user-guide/content-type). This allows the user to use a different set of content types to decode each of the dict entries. ``` %package help Summary: Development documents and examples for mlserver-mlflow Provides: python3-mlserver-mlflow-doc %description help # MLflow runtime for MLServer This package provides a MLServer runtime compatible with [MLflow models](https://www.mlflow.org/docs/latest/models.html). ## Usage You can install the runtime, alongside `mlserver`, as: ```bash pip install mlserver mlserver-mlflow ``` ## Content Types The MLflow inference runtime introduces a new `dict` content type, which decodes an incoming V2 request as a [dictionary of tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models). This is useful for certain MLflow-serialised models, which will expect that the model inputs are serialised in this format. ```{note} The `dict` content type can be _stacked_ with other content types, like [`np`](../../docs/user-guide/content-type). This allows the user to use a different set of content types to decode each of the dict entries. ``` %prep %autosetup -n mlserver-mlflow-1.3.1 %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-mlserver-mlflow -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.3.1-1 - Package Spec generated