A package for benchmarking time series machine learning tools.

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License: BSD License (BSD 3-Clause License Copyright (c) The Time Series Machine Learning (tsml) developers. All rights r...)

Author: Matthew Middlehurst

Maintainer: Matthew Middlehurst

Tags data-science, machine-learning, time-series, time-series-classification, time-series-regression, time-series-clustering, evaluation, benchmarking

Requires: Python <3.13, >=3.8

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tsml-eval

tsml-eval contains benchmarking and evaluation tools for time series machine learning algorithms.

The current release of tsml-eval is v0.3.0.

Installation

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

pip install tsml-eval

More information available on our documentation.

Acknowledgements

This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) EP/W030756/2

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for MMiddlehurst from gravatar.com MMiddlehurst

Unverified details

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GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: BSD License (BSD 3-Clause License Copyright (c) The Time Series Machine Learning (tsml) developers. All rights r...)

Author: Matthew Middlehurst

Maintainer: Matthew Middlehurst

Tags data-science, machine-learning, time-series, time-series-classification, time-series-regression, time-series-clustering, evaluation, benchmarking

Requires: Python <3.13, >=3.8

Classifiers

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This version

0.3.0

0.2.1

0.2.0

0.1.1

0.1.0

0.0.2

0.0.1

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