automatic import of python-mapie

3 files changed, 92 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..95a3935 100644
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+/MAPIE-0.6.4.tar.gz
diff --git a/python-mapie.spec b/python-mapie.spec
new file mode 100644
index 0000000..c3533e4
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+%global _empty_manifest_terminate_build 0
+Name:		python-MAPIE
+Version:	0.6.4
+Release:	1
+Summary:	A scikit-learn-compatible module for estimating prediction intervals.
+License:	new BSD
+URL:		https://github.com/scikit-learn-contrib/MAPIE
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/0c/85/08126b7138e6cb850d19cb6ab7e30783f7c2c198160875a407604d71c4a0/MAPIE-0.6.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-scikit-learn
+Requires:	python3-numpy
+Requires:	python3-packaging
+
+%description
+**MAPIE** allows you to easily estimate prediction intervals (or prediction sets)
+using your favourite scikit-learn-compatible model for
+single-output regression or multi-class classification settings.
+Prediction intervals output by **MAPIE** encompass both aleatoric and epistemic
+uncertainties and are backed by strong theoretical guarantees thanks to conformal
+prediction methods [1-7].
+
+%package -n python3-MAPIE
+Summary:	A scikit-learn-compatible module for estimating prediction intervals.
+Provides:	python-MAPIE
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-MAPIE
+**MAPIE** allows you to easily estimate prediction intervals (or prediction sets)
+using your favourite scikit-learn-compatible model for
+single-output regression or multi-class classification settings.
+Prediction intervals output by **MAPIE** encompass both aleatoric and epistemic
+uncertainties and are backed by strong theoretical guarantees thanks to conformal
+prediction methods [1-7].
+
+%package help
+Summary:	Development documents and examples for MAPIE
+Provides:	python3-MAPIE-doc
+%description help
+**MAPIE** allows you to easily estimate prediction intervals (or prediction sets)
+using your favourite scikit-learn-compatible model for
+single-output regression or multi-class classification settings.
+Prediction intervals output by **MAPIE** encompass both aleatoric and epistemic
+uncertainties and are backed by strong theoretical guarantees thanks to conformal
+prediction methods [1-7].
+
+%prep
+%autosetup -n MAPIE-0.6.4
+
+%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-MAPIE -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4816e6c
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+e889a0e3284008881bd730a06701573f  MAPIE-0.6.4.tar.gz