A Python package for time series augmentation
tsaugis 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.
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 ./
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.
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.
tsaugis licensed under the Apache License 2.0. See the LICENSE file for details.