Metadata-Version: 2.1
Name: mlots
Version: 0.0.4.1
Summary: Machine Learning Over Time-Series: A toolkit for time-series analysis
Home-page: http://mlots.readthedocs.io/
Author: Vivek Mahato
Author-email: vivek.mahato@ucdconnect.ie
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: tslearn
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: annoy
Requires-Dist: hnswlib
Requires-Dist: sortedcollections
Requires-Dist: tqdm

# Machine Learning On Time-Series (```MLOTS```)

 ![](docs/source/signal.gif)  
 [![Build Status](https://travis-ci.com/vivekmahato/mlots.svg?branch=main)](https://travis-ci.com/vivekmahato/mlots)

```mlots``` provides Machine Learning tools for Time-Series Classification.
This package builds on (and hence depends on) ```scikit-learn```, ```numpy```, ```tslearn```, ```annoy```, and ```hnswlib``` libraries.

It can be installed as a python package from the [PyPI](https://pypi.org/project/mlots/) repository.

## Installation

Install ```mlots``` by running:

   <pre><code class="python">pip install mlots
</code></pre>

After installation, it can be imported to a ```python``` environment to be employed.

   <pre><code class="python">import mlots
</code></pre>

## Contribute

- Issue Tracker: https://github.com/vivekmahato/mlots/issues
- Source Code: https://github.com/vivekmahato/mlots

## Support

If you are having issues, please let us know.

## License

The project is licensed under the MIT license.


