Related papers: ml_edm package: a Python toolkit for Machine Learning based Early Decision Making

ml_edm package: a Python toolkit for Machine Learning based Early Decision Making

URL: http://arxiv.org/abs/2408.12925v1
Date: Fri, 23 Aug 2024 09:08:17 GMT
Title: ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
Authors: Aurélien Renault, Youssef Achenchabe, Édouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui,
Abstract summary: textttml_edm is a Python 3 library designed for early decision making of any learning tasks involving temporal/sequential data. textttscikit-learn makes estimators and pipelines compatible with textttml_edm.
Score: 0.43363943304569713
License: http://creativecommons.org/licenses/by/4.0/
Abstract: \texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own triggering strategy for classification, regression or any machine learning task. As of now, many Early Classification of Time Series (ECTS) state-of-the-art algorithms, are efficiently implemented in the library leveraging parallel computation. The syntax follows the one introduce in \texttt{scikit-learn}, making estimators and pipelines compatible with \texttt{ml\_edm}. This software is distributed over the BSD-3-Clause license, source code can be found at \url{https://github.com/ML-EDM/ml_edm}.

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