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%global _empty_manifest_terminate_build 0
Name: python-arimafd
Version: 1.4.1
Release: 1
Summary: Build librarry
License: MIT
URL: https://github.com/waico/arimafd
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0d/c4/c581142ecd619ab8b936e01eed5c053a417ad4194ddcb2e39157cde04b5b/arimafd-1.4.1.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-sympy
Requires: python3-sklearn
Requires: python3-statsmodels
%description
# About arimafd
Arimafd is a Python package that provides algorithms
for online prediction and anomaly detection. One of the
applications of this package can be the early detection
of faults in technical systems.
# Main Features
- Differentiation and integration of series including seasonal components
- Finding best hyperparametrs for ARIMA model
- Online forecasting based on ARIMA model
- Anomaly detection
- Evaluating score of anomaly detection algorithms
# How to get it
The master branch on GitHub
https://github.com/waico/arimafd
Binaries and source distributions are available from PyPi
https://pypi.org/project/arimafd/
# Get started
**Installation** through [PyPi](https://pypi.org/project/tsad):
`pip install -U arimafd`
# License
MIT
%package -n python3-arimafd
Summary: Build librarry
Provides: python-arimafd
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-arimafd
# About arimafd
Arimafd is a Python package that provides algorithms
for online prediction and anomaly detection. One of the
applications of this package can be the early detection
of faults in technical systems.
# Main Features
- Differentiation and integration of series including seasonal components
- Finding best hyperparametrs for ARIMA model
- Online forecasting based on ARIMA model
- Anomaly detection
- Evaluating score of anomaly detection algorithms
# How to get it
The master branch on GitHub
https://github.com/waico/arimafd
Binaries and source distributions are available from PyPi
https://pypi.org/project/arimafd/
# Get started
**Installation** through [PyPi](https://pypi.org/project/tsad):
`pip install -U arimafd`
# License
MIT
%package help
Summary: Development documents and examples for arimafd
Provides: python3-arimafd-doc
%description help
# About arimafd
Arimafd is a Python package that provides algorithms
for online prediction and anomaly detection. One of the
applications of this package can be the early detection
of faults in technical systems.
# Main Features
- Differentiation and integration of series including seasonal components
- Finding best hyperparametrs for ARIMA model
- Online forecasting based on ARIMA model
- Anomaly detection
- Evaluating score of anomaly detection algorithms
# How to get it
The master branch on GitHub
https://github.com/waico/arimafd
Binaries and source distributions are available from PyPi
https://pypi.org/project/arimafd/
# Get started
**Installation** through [PyPi](https://pypi.org/project/tsad):
`pip install -U arimafd`
# License
MIT
%prep
%autosetup -n arimafd-1.4.1
%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-arimafd -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.1-1
- Package Spec generated
|
