Description:
adtk 0.6.2
Anomaly Detection Toolkit (ADTK)
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.
pip install adtk
Alternatively, you could install from source code. This will give you the latest, but unstable, version of ADTK.
git clone https://github.com/arundo/adtk.git
cd adtk/
git checkout develop
pip install ./
Examples
Please see Quick Start for a simple example.
For more detailed examples of each module of ADTK, please refer to
Examples
section in the documentation or an interactive demo notebook.
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 for more details.
License
ADTK is licensed under the Mozilla Public License 2.0 (MPL 2.0). See the
LICENSE file for details.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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