Metadata-Version: 2.1
Name: tsml
Version: 0.4.0
Summary: A toolkit for time series machine learning algorithms.
Author-email: Matthew Middlehurst <m.b.middlehurst@soton.ac.uk>
Maintainer-email: Matthew Middlehurst <m.b.middlehurst@soton.ac.uk>
License: BSD 3-Clause License
        
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Project-URL: homepage, https://www.timeseriesclassification.com/
Project-URL: repository, https://github.com/time-series-machine-learning/tsml-py/
Keywords: data-science,machine-learning,scikit-learn,time-series,time-series-classification,time-series-regression,time-series-clustering
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# tsml-py

A toolkit for time series machine learning algorithms.

Please see [`tsml_eval`](https://github.com/time-series-machine-learning/tsml-eval) and
[`aeon`](https://github.com/aeon-toolkit/aeon) for more developed 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 v0.4.0.

## 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
