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


Keywords
approximate-nearest-neighbor-search, classification, dtw, machine-learning, minirocket, nearest-neighbors, time-series
License
BSD-3-Clause
Install
pip install mlots==0.0a1

Documentation

Machine Learning On Time-Series

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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.

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.

Contribute

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.