mlsanityData to 14 Oct 2026

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

arXiv 2408.12925 ↗First posted 23 Aug 2024cs.LGcited by 1

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Abstract (arXiv)

textttmledm 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 textttscikit-learn, making estimators and pipelines compatible with textttmledm. This software is distributed over the BSD-3-Clause license, source code can be found at urlhttps://github.com/ML-EDM/mledm.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 23 Aug 2024.

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3 of 14 references.

References · 3

  1. 2024aeon: a Python toolkit for learning from time seriescited by 47
  2. 2020Approaches and Applications of Early Classification of Time Series: A Reviewcited by 40
  3. 2019TEASER: Early and Accurate Time Series Classificationcited by 26

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