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.

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

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.