%global _empty_manifest_terminate_build 0
Name:		python-scikit-multiflow
Version:	0.5.3
Release:	1
Summary:	A machine learning package for streaming data in Python.
License:	3-Clause BSD
URL:		https://scikit-multiflow.github.io/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/26/45/9ba746969f996235a5c3bcafa75d5c5ea324f6840ecada6ed2917a21c84f/scikit-multiflow-0.5.3.tar.gz

Requires:	python3-sortedcontainers
Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-matplotlib
Requires:	python3-scikit-learn
Requires:	python3-pandas

%description
#### Jupyter Notebooks
In order to display plots from `scikit-multiflow` within a [Jupyter Notebook]() we need to define
the proper mathplotlib backend to use. This is done by including the following magic command at the
beginning of the Notebook:
```python
%matplotlib notebook
```
[JupyterLab](http://jupyterlab.readthedocs.io/en/stable/) is the next-generation user interface
for Jupyter, currently in beta, it can display interactive plots with some caveats. If you use
JupyterLab then the current solution is to use the 
[jupyter-matplotlib](https://github.com/matplotlib/jupyter-matplotlib) extension:
```python
%matplotlib widget
```
## Citing `scikit-multiflow`
If `scikit-multiflow` has been useful for your research and you would like to cite it in a academic
publication, please use the following Bibtex entry:
```bibtex
@article{skmultiflow,
  author  = {Jacob Montiel and Jesse Read and Albert Bifet and Talel Abdessalem},
  title   = {Scikit-Multiflow: A Multi-output Streaming Framework },
  journal = {Journal of Machine Learning Research},
  year    = {2018},
  volume  = {19},
  number  = {72},
  pages   = {1-5},
  url     = {http://jmlr.org/papers/v19/18-251.html}
}
```

%package -n python3-scikit-multiflow
Summary:	A machine learning package for streaming data in Python.
Provides:	python-scikit-multiflow
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-scikit-multiflow
#### Jupyter Notebooks
In order to display plots from `scikit-multiflow` within a [Jupyter Notebook]() we need to define
the proper mathplotlib backend to use. This is done by including the following magic command at the
beginning of the Notebook:
```python
%matplotlib notebook
```
[JupyterLab](http://jupyterlab.readthedocs.io/en/stable/) is the next-generation user interface
for Jupyter, currently in beta, it can display interactive plots with some caveats. If you use
JupyterLab then the current solution is to use the 
[jupyter-matplotlib](https://github.com/matplotlib/jupyter-matplotlib) extension:
```python
%matplotlib widget
```
## Citing `scikit-multiflow`
If `scikit-multiflow` has been useful for your research and you would like to cite it in a academic
publication, please use the following Bibtex entry:
```bibtex
@article{skmultiflow,
  author  = {Jacob Montiel and Jesse Read and Albert Bifet and Talel Abdessalem},
  title   = {Scikit-Multiflow: A Multi-output Streaming Framework },
  journal = {Journal of Machine Learning Research},
  year    = {2018},
  volume  = {19},
  number  = {72},
  pages   = {1-5},
  url     = {http://jmlr.org/papers/v19/18-251.html}
}
```

%package help
Summary:	Development documents and examples for scikit-multiflow
Provides:	python3-scikit-multiflow-doc
%description help
#### Jupyter Notebooks
In order to display plots from `scikit-multiflow` within a [Jupyter Notebook]() we need to define
the proper mathplotlib backend to use. This is done by including the following magic command at the
beginning of the Notebook:
```python
%matplotlib notebook
```
[JupyterLab](http://jupyterlab.readthedocs.io/en/stable/) is the next-generation user interface
for Jupyter, currently in beta, it can display interactive plots with some caveats. If you use
JupyterLab then the current solution is to use the 
[jupyter-matplotlib](https://github.com/matplotlib/jupyter-matplotlib) extension:
```python
%matplotlib widget
```
## Citing `scikit-multiflow`
If `scikit-multiflow` has been useful for your research and you would like to cite it in a academic
publication, please use the following Bibtex entry:
```bibtex
@article{skmultiflow,
  author  = {Jacob Montiel and Jesse Read and Albert Bifet and Talel Abdessalem},
  title   = {Scikit-Multiflow: A Multi-output Streaming Framework },
  journal = {Journal of Machine Learning Research},
  year    = {2018},
  volume  = {19},
  number  = {72},
  pages   = {1-5},
  url     = {http://jmlr.org/papers/v19/18-251.html}
}
```

%prep
%autosetup -n scikit-multiflow-0.5.3

%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-multiflow -f filelist.lst
%dir %{python3_sitearch}/*

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

%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.3-1
- Package Spec generated