semvec/pypi-packages huggingface dataset:
mlots 0.0.7.4
Machine Learning Over Time-Series: A toolkit for time-series analysis

# 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>

## Documentation
The documentation is hosted at [readthedocs](https://mlots.readthedocs.io/). Examples of using ```mlots``` models are present in the [Getting Started](https://mlots.readthedocs.io/en/latest/#getting-started) section of the documentation.


## 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.

## Acknowledgements

We thank Angus Dempster et al. for sharing (open-sourcing) the code for ROCKET and MINIROCKET.