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A package for time series augmentation

Project description

tsaug

Build Docs PyPI

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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