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|
%global _empty_manifest_terminate_build 0
Name: python-timexseries-clustering
Version: 1.0.17
Release: 1
Summary: TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
License: GNU General Public License v3 (GPLv3)
URL: https://github.com/uGR17/TIMEX_CLUSTERING
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d2/c3/ea69cc56b5e6305e250b9a946c3fe0de1ac64f4170a00452e75755c771c0/timexseries_clustering-1.0.17.tar.gz
BuildArch: noarch
Requires: python3-dateparser
Requires: python3-torch
Requires: python3-tslearn
Requires: python3-matplotlib
Requires: python3-plotly
Requires: python3-wheel
Requires: python3-colorhash
Requires: python3-networkx
Requires: python3-dash
Requires: python3-dash-bootstrap-components
Requires: python3-jupyter-dash
Requires: python3-pmdarima
Requires: python3-gunicorn
Requires: python3-sklearn
Requires: python3-scipy
Requires: python3-statsmodels
Requires: python3-PyWavelets
Requires: python3-pytest
Requires: python3-Flask
%description
# TIMEX_CLUSTERING
Library for time-series-clustering-as-a-service.
[](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
Its main goal is to provide a simple and generic tool to build websites and, more in general,
platforms, able to provide the clustering of time-series in an "as-a-service" manner.
This means that users should interact with the service as less as possible.
## Installation
Installation is as simple as running:
`pip install timexseries_clustering`
## Get started
Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
## Documentation
The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
## Contacts
If you have questions, suggestions or problems, feel free to open an Issue.
You can contact us at:
- uriel.guadarrama@polimi.it
- alessandro.falcetta@polimi.it
- manuel.roveri@polimi.it
%package -n python3-timexseries-clustering
Summary: TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
Provides: python-timexseries-clustering
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-timexseries-clustering
# TIMEX_CLUSTERING
Library for time-series-clustering-as-a-service.
[](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
Its main goal is to provide a simple and generic tool to build websites and, more in general,
platforms, able to provide the clustering of time-series in an "as-a-service" manner.
This means that users should interact with the service as less as possible.
## Installation
Installation is as simple as running:
`pip install timexseries_clustering`
## Get started
Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
## Documentation
The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
## Contacts
If you have questions, suggestions or problems, feel free to open an Issue.
You can contact us at:
- uriel.guadarrama@polimi.it
- alessandro.falcetta@polimi.it
- manuel.roveri@polimi.it
%package help
Summary: Development documents and examples for timexseries-clustering
Provides: python3-timexseries-clustering-doc
%description help
# TIMEX_CLUSTERING
Library for time-series-clustering-as-a-service.
[](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
Its main goal is to provide a simple and generic tool to build websites and, more in general,
platforms, able to provide the clustering of time-series in an "as-a-service" manner.
This means that users should interact with the service as less as possible.
## Installation
Installation is as simple as running:
`pip install timexseries_clustering`
## Get started
Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
## Documentation
The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
## Contacts
If you have questions, suggestions or problems, feel free to open an Issue.
You can contact us at:
- uriel.guadarrama@polimi.it
- alessandro.falcetta@polimi.it
- manuel.roveri@polimi.it
%prep
%autosetup -n timexseries-clustering-1.0.17
%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-timexseries-clustering -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.17-1
- Package Spec generated
|
