Metadata-Version: 2.1
Name: tsaug
Version: 0.2.1
Summary: A package for time series augmentation
Home-page: https://github.com/arundo/tsaug
Author: Arundo Analytics, Inc.
Maintainer: Tailai Wen
Maintainer-email: tailai.wen@arundo.com
License: Apache License 2.0
Description: # tsaug
        
        [![Build Status](https://travis-ci.com/arundo/tsaug.svg?branch=master)](https://travis-ci.com/arundo/tsaug)
        [![Documentation Status](https://readthedocs.org/projects/tsaug/badge/?version=stable)](https://tsaug.readthedocs.io/en/stable/?badge=stable)
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        `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.
        
        ```shell
        pip install tsaug
        ```
        
        Alternatively, you could install from source code. This will give you the **latest**, but unstable, version of tsaug.
        
        ```shell
        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:
        
        - [Augment a batch of multivariate time series](https://tsaug.readthedocs.io/en/stable/quickstart.html#augment-a-batch-of-multivariate-time-series)
        - [Augment a 2-channel audio sequence](https://tsaug.readthedocs.io/en/stable/quickstart.html#augment-a-2-channel-audio-sequence)
        
        Examples of every individual augmenter can be found [here](https://tsaug.readthedocs.io/en/stable/notebook/Examples%20of%20augmenters.html)
        
        For full references of implemented augmentation methods, please refer to [References](https://tsaug.readthedocs.io/en/stable/references.html).
        
        ## 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](https://tsaug.readthedocs.io/en/stable/developer.html) for more details.
        
        
        ## License
        
        `tsaug` is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details.
Keywords: time series,data augmentation
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: doc
Provides-Extra: test
