%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.aliyun.com/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. [![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml) ![Coverage](badges/coverage.svg) ![PyPI](https://img.shields.io/pypi/v/timexseries_clustering) ![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering) 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. [![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml) ![Coverage](badges/coverage.svg) ![PyPI](https://img.shields.io/pypi/v/timexseries_clustering) ![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering) 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. [![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml) ![Coverage](badges/coverage.svg) ![PyPI](https://img.shields.io/pypi/v/timexseries_clustering) ![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering) 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 Jun 08 2023 Python_Bot - 1.0.17-1 - Package Spec generated