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%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)
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)
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)
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
|
