%global _empty_manifest_terminate_build 0
Name:		python-scikit-weak
Version:	0.2.1
Release:	1
Summary:	A package featuring utilities and algorithms for weakly supervised ML.
License:	LICENSE.txt
URL:		https://pypi.org/project/scikit-weak/
Source0:	https://mirrors.aliyun.com/pypi/web/packages/49/6c/284478de71eb54c46e9ac263a5835abaaae852a40eb38bf4d99989e6dd47/scikit-weak-0.2.1.tar.gz
BuildArch:	noarch


%description
# scikit-weak (scikit-weakly-supervised)

![scikit-weak logo](images/scikit_weak_logo.png)

 A package featuring utilities and algorithms for weakly supervised ML.
 Should be (more-or-less) compatible with scikit-learn!
 It collects original algorithms and methods developed by the contributors,
 as well as some algorithms available in the literature.

 Current contributors:
 - Andrea Campagner, MUDI Lab, University of Milano-Bicocca
 - Julian Lienen, Paderborn University

 ## How to install
 You can install the library using the command:

 ```
 pip install scikit-weak
 ```
 
 ### Dependencies:
 numpy, scipy, scikit-learn, tensorflow, keras, pytest

 ## Documentation
 The documentation is generated using Sphinx (https://www.sphinx-doc.org/). 
 If you download the source code from this repository you can generate the documentation in html format by typing: 
 ```
 pip install sphinx-rtd-theme
 sphinx-build -b html docs/source docs/build/html
 ```
 in the main folder of the project.






%package -n python3-scikit-weak
Summary:	A package featuring utilities and algorithms for weakly supervised ML.
Provides:	python-scikit-weak
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-scikit-weak
# scikit-weak (scikit-weakly-supervised)

![scikit-weak logo](images/scikit_weak_logo.png)

 A package featuring utilities and algorithms for weakly supervised ML.
 Should be (more-or-less) compatible with scikit-learn!
 It collects original algorithms and methods developed by the contributors,
 as well as some algorithms available in the literature.

 Current contributors:
 - Andrea Campagner, MUDI Lab, University of Milano-Bicocca
 - Julian Lienen, Paderborn University

 ## How to install
 You can install the library using the command:

 ```
 pip install scikit-weak
 ```
 
 ### Dependencies:
 numpy, scipy, scikit-learn, tensorflow, keras, pytest

 ## Documentation
 The documentation is generated using Sphinx (https://www.sphinx-doc.org/). 
 If you download the source code from this repository you can generate the documentation in html format by typing: 
 ```
 pip install sphinx-rtd-theme
 sphinx-build -b html docs/source docs/build/html
 ```
 in the main folder of the project.






%package help
Summary:	Development documents and examples for scikit-weak
Provides:	python3-scikit-weak-doc
%description help
# scikit-weak (scikit-weakly-supervised)

![scikit-weak logo](images/scikit_weak_logo.png)

 A package featuring utilities and algorithms for weakly supervised ML.
 Should be (more-or-less) compatible with scikit-learn!
 It collects original algorithms and methods developed by the contributors,
 as well as some algorithms available in the literature.

 Current contributors:
 - Andrea Campagner, MUDI Lab, University of Milano-Bicocca
 - Julian Lienen, Paderborn University

 ## How to install
 You can install the library using the command:

 ```
 pip install scikit-weak
 ```
 
 ### Dependencies:
 numpy, scipy, scikit-learn, tensorflow, keras, pytest

 ## Documentation
 The documentation is generated using Sphinx (https://www.sphinx-doc.org/). 
 If you download the source code from this repository you can generate the documentation in html format by typing: 
 ```
 pip install sphinx-rtd-theme
 sphinx-build -b html docs/source docs/build/html
 ```
 in the main folder of the project.






%prep
%autosetup -n scikit-weak-0.2.1

%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-scikit-weak -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.1-1
- Package Spec generated