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