Metadata-Version: 2.1
Name: mlots
Version: 0.0.5
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
Project-URL: Documentation, https://mlots.readthedocs.io/
Project-URL: Source, https://github.com/vivekmahato/mlots
Project-URL: Tracker, https://github.com/vivekmahato/mlots/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: BSD 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
Requires-Dist: pandas

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

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```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 BSD 3-Clause license.


