A package for time series augmentation
Project description
tsaug
tsaug is a Python package for time series augmentation. It offers a set of
augmentation methods for time series with unified APIs, as well as operators to
connect multiple augmentors into a pipeline.
See https://arundo-tsaug.readthedocs-hosted.com complete documentation.
Installation
Prerequisites: Python 3.5 or later.
It is recommended to use pip for installation.
pip install tsaug
Alternatively, you could install from source code:
git clone https://github.com/arundo/tsaug.git
cd tsaug/
pip install ./
Examples
Please see Quick Start for some examples.
For full references of implemented augmentation methods, please refer to References.
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 tests as appropriate.
License
tsaug is licensed under the Apache License 2.0. See the LICENSE file for details.
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