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

Project description

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 repository.


Install mlots by running:

pip install mlots

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

import mlots


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



If you are having issues, please let us know.


The project is licensed under the BSD 3-Clause license.


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

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