Machine Learning Over Time-Series: A toolkit for time-series analysis

Machine Learning On Time-Series (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 repository.

Installation

Install mlots by running:

pip install mlots


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

import mlots


Documentation

The documentation is hosted at readthedocs. Examples of using mlots models are present in the Getting Started section of the documentation.

Support

If you are having issues, please let us know.

Acknowledgements

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

Project details

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