tsaug - 用于时间序列扩充的Python软件包
A Python package for time series augmentation
Python 机器学习
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详细介绍
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.