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.