tsaug

A Python package for time series augmentation

Showing:

Popularity

Downloads/wk

0

GitHub Stars

205

Maintenance

Last Commit

1yr ago

Contributors

3

Package

Dependencies

17

License

Apache License 2.0

Categories

Readme

tsaug

Build Status Documentation Status Coverage Status PyPI Downloads Code style: black

tsaug is a Python package for time series augmentation. It offers a set of augmentation methods for time series, as well as a simple API to connect multiple augmenters into a pipeline.

See https://tsaug.readthedocs.io complete documentation.

Installation

Prerequisites: Python 3.5 or later.

It is recommended to install the most recent stable release of tsaug from PyPI.

pip install tsaug

Alternatively, you could install from source code. This will give you the latest, but unstable, version of tsaug.

git clone https://github.com/arundo/tsaug.git
cd tsaug/
git checkout develop
pip install ./

Examples

A first-time user may start with two examples:

Examples of every individual augmenter can be found here

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.

Please see Contributing for more details.

License

tsaug is licensed under the Apache License 2.0. See the LICENSE file for details.

Rate & Review

Great Documentation0
Easy to Use0
Performant0
Highly Customizable0
Bleeding Edge0
Responsive Maintainers0
Poor Documentation0
Hard to Use0
Slow0
Buggy0
Abandoned0
Unwelcoming Community0
100