https://github.com/time-series-machine-learning/tsml-py

A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!
https://github.com/time-series-machine-learning/tsml-py

data-science machine-learning python scikit-learn time-series time-series-classification time-series-clustering time-series-regression

Last synced: 3 months ago
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A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!

• Host: GitHub
• URL: https://github.com/time-series-machine-learning/tsml-py
• Owner: time-series-machine-learning
• License: bsd-3-clause
• Created: 2023-02-03T11:56:36.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2026-03-24T22:37:43.000Z (3 months ago)
• Last Synced: 2026-03-26T01:51:58.867Z (3 months ago)
• Topics: data-science, machine-learning, python, scikit-learn, time-series, time-series-classification, time-series-clustering, time-series-regression
• Language: Python
• Homepage:
• Size: 864 KB
• Stars: 9
• Watchers: 4
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# tsml-py

A repository for in-development time series machine learning algorithms and other odd

bits by Matthew Middlehurst.

Please see [`tsml_eval`](https://github.com/time-series-machine-learning/tsml-eval) and

[`aeon`](https://github.com/aeon-toolkit/aeon) for more developed and stable packages. This package

is more of a sandbox for testing out new ideas and algorithms. It may contain some

algorithms and implementations that are not available in the other toolkits.

The current release of `tsml` is v0.8.0.

## Installation

`tsml` is available on PyPI and can be installed via pip:

```console

pip install tsml

```

## Acknowledgements

This work is supported by the UK Engineering and Physical Sciences Research Council

(EPSRC) EP/W030756/1