Metadata-Version: 2.4
Name: time-series-anomaly-detector
Version: 0.3.8
Summary: Time Series Anomaly Detector
Author-email: Microsoft Corporation <ad-oss@microsoft.com>
Maintainer-email: Microsoft Corporation <ad-oss@microsoft.com>
License:     MIT License
        
            Copyright (c) Microsoft Corporation.
        
            Permission is hereby granted, free of charge, to any person obtaining a copy
            of this software and associated documentation files (the "Software"), to deal
            in the Software without restriction, including without limitation the rights
            to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
            copies of the Software, and to permit persons to whom the Software is
            furnished to do so, subject to the following conditions:
        
            The above copyright notice and this permission notice shall be included in all
            copies or substantial portions of the Software.
        
            THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
            IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
            FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
            AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
            LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
            OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
            SOFTWARE
        
Project-URL: Homepage, https://github.com/microsoft/anomaly-detector
Keywords: machine learning,time series,anomaly detection
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10.0
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy<2,>=1.23.5
Requires-Dist: pandas<=2.2.3,>=1.3.5
Requires-Dist: seasonal>=0.3.1
Requires-Dist: scipy<1.13.0,>=1.9.3
Requires-Dist: pytz>=2018.9
Requires-Dist: rstl>=0.1.3
Requires-Dist: psutil>=6.1.1
Requires-Dist: statsmodels>=0.14.1
Requires-Dist: scikit-learn>=1.3.2
Requires-Dist: arch>=6.3.0
Requires-Dist: torch>=1.13.1
Requires-Dist: tqdm>=4.66.1
Requires-Dist: mlflow<4.0,>=3.1.0
Requires-Dist: pytest>=7.4.4
Dynamic: license-file

# Environment
Tested on
[![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-3100/)
[![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3110/)
[![Python 3.12](https://img.shields.io/badge/python-3.12-blue.svg)](https://www.python.org/downloads/release/python-3120/)


# Getting Started
 
## Installing from pip
 
```bash
# install time-series-anomaly-detector
pip install time-series-anomaly-detector==0.3.8
```
 
## Installing from Source
<!-- ## Clone the Repository -->
 
```bash
git clone https://github.com/microsoft/anomaly-detector.git
pip install -e .
```
 
## Test
 
```bash
cd anomaly-detector/tests
python uvad_test.py
python test_demo.py
```
 
# Project
 
> This repo has been populated by an initial template to help get you started. Please
> make sure to update the content to build a great experience for community-building.
 
As the maintainer of this project, please make a few updates:
 
- Improving this README.MD file to provide a great experience
- Updating SUPPORT.MD with content about this project's support experience
- Understanding the security reporting process in SECURITY.MD
- Remove this section from the README
 
## Contributing
 
This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
 
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
 
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
 
## Trademarks
 
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.
