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|
%global _empty_manifest_terminate_build 0
Name: python-adtk
Version: 0.6.2
Release: 1
Summary: A package for unsupervised time series anomaly detection
License: Mozilla Public License 2.0 (MPL 2.0)
URL: https://github.com/arundo/adtk
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/dc/72/ba10b935b4941a5d7e54edce86354ec389d08d06b53aae4e7fa464fed0e3/adtk-0.6.2.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-scikit-learn
Requires: python3-statsmodels
Requires: python3-packaging
Requires: python3-tabulate
Requires: python3-black
Requires: python3-isort
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-nbsphinx
Requires: python3-dateutil
Requires: python3-jupyter
Requires: python3-pytest
Requires: python3-tox
Requires: python3-coverage
Requires: python3-pytest-cov
Requires: python3-coveralls
Requires: python3-mypy
%description
# Anomaly Detection Toolkit (ADTK)
[](https://travis-ci.com/arundo/adtk)
[](https://adtk.readthedocs.io/en/stable)
[](https://coveralls.io/github/arundo/adtk?branch=master)
[](https://pypi.org/project/adtk/)
[](https://pepy.tech/project/adtk)
[](https://github.com/psf/black)
[](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
rule-based time series anomaly detection.
As the nature of anomaly varies over different cases, a model may not work
universally for all anomaly detection problems. Choosing and combining
detection algorithms (detectors), feature engineering methods (transformers),
and ensemble methods (aggregators) properly is the key to build an effective
anomaly detection model.
This package offers a set of common detectors, transformers and aggregators
with unified APIs, as well as pipe classes that connect them together into
models. It also provides some functions to process and visualize time series
and anomaly events.
See https://adtk.readthedocs.io for complete documentation.
## Installation
Prerequisites: Python 3.5 or later.
It is recommended to install the most recent **stable** release of ADTK from PyPI.
```shell
pip install adtk
```
Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
```shell
git clone https://github.com/arundo/adtk.git
cd adtk/
git checkout develop
pip install ./
```
## Examples
Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
For more detailed examples of each module of ADTK, please refer to
[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
## Contributing
Pull requests are welcome. For major changes, please open an issue first to
discuss what you would like to change.
Please make sure to update unit tests as appropriate.
Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
## License
ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
[LICENSE](LICENSE) file for details.
%package -n python3-adtk
Summary: A package for unsupervised time series anomaly detection
Provides: python-adtk
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-adtk
# Anomaly Detection Toolkit (ADTK)
[](https://travis-ci.com/arundo/adtk)
[](https://adtk.readthedocs.io/en/stable)
[](https://coveralls.io/github/arundo/adtk?branch=master)
[](https://pypi.org/project/adtk/)
[](https://pepy.tech/project/adtk)
[](https://github.com/psf/black)
[](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
rule-based time series anomaly detection.
As the nature of anomaly varies over different cases, a model may not work
universally for all anomaly detection problems. Choosing and combining
detection algorithms (detectors), feature engineering methods (transformers),
and ensemble methods (aggregators) properly is the key to build an effective
anomaly detection model.
This package offers a set of common detectors, transformers and aggregators
with unified APIs, as well as pipe classes that connect them together into
models. It also provides some functions to process and visualize time series
and anomaly events.
See https://adtk.readthedocs.io for complete documentation.
## Installation
Prerequisites: Python 3.5 or later.
It is recommended to install the most recent **stable** release of ADTK from PyPI.
```shell
pip install adtk
```
Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
```shell
git clone https://github.com/arundo/adtk.git
cd adtk/
git checkout develop
pip install ./
```
## Examples
Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
For more detailed examples of each module of ADTK, please refer to
[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
## Contributing
Pull requests are welcome. For major changes, please open an issue first to
discuss what you would like to change.
Please make sure to update unit tests as appropriate.
Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
## License
ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
[LICENSE](LICENSE) file for details.
%package help
Summary: Development documents and examples for adtk
Provides: python3-adtk-doc
%description help
# Anomaly Detection Toolkit (ADTK)
[](https://travis-ci.com/arundo/adtk)
[](https://adtk.readthedocs.io/en/stable)
[](https://coveralls.io/github/arundo/adtk?branch=master)
[](https://pypi.org/project/adtk/)
[](https://pepy.tech/project/adtk)
[](https://github.com/psf/black)
[](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb)
Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised /
rule-based time series anomaly detection.
As the nature of anomaly varies over different cases, a model may not work
universally for all anomaly detection problems. Choosing and combining
detection algorithms (detectors), feature engineering methods (transformers),
and ensemble methods (aggregators) properly is the key to build an effective
anomaly detection model.
This package offers a set of common detectors, transformers and aggregators
with unified APIs, as well as pipe classes that connect them together into
models. It also provides some functions to process and visualize time series
and anomaly events.
See https://adtk.readthedocs.io for complete documentation.
## Installation
Prerequisites: Python 3.5 or later.
It is recommended to install the most recent **stable** release of ADTK from PyPI.
```shell
pip install adtk
```
Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of ADTK.
```shell
git clone https://github.com/arundo/adtk.git
cd adtk/
git checkout develop
pip install ./
```
## Examples
Please see [Quick Start](https://adtk.readthedocs.io/en/stable/quickstart.html) for a simple example.
For more detailed examples of each module of ADTK, please refer to
[Examples](https://adtk.readthedocs.io/en/stable/examples.html)
section in the documentation or [an interactive demo notebook](https://mybinder.org/v2/gh/arundo/adtk/master?filepath=docs%2Fnotebooks%2Fdemo.ipynb).
## Contributing
Pull requests are welcome. For major changes, please open an issue first to
discuss what you would like to change.
Please make sure to update unit tests as appropriate.
Please see [Contributing](https://adtk.readthedocs.io/en/stable/developer.html) for more details.
## License
ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
[LICENSE](LICENSE) file for details.
%prep
%autosetup -n adtk-0.6.2
%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-adtk -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.2-1
- Package Spec generated
|
