Skip to main content

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

Project description

Machine Learning On Time-Series (MLOTS)


Build Status codecov PyPI pyversions Documentation Status License GitHub last commit Twitter

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Built Distribution

mlots-0.0.7.4-py3-none-any.whl (23.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page