{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ml-edm-package-a-python-toolkit-for-machine","title":"ml_edm package: a Python toolkit for Machine Learning based Early Decision Making","arxiv_id":"2408.12925","date":"2024-08-23","proceeding":null,"authors":["Aurélien Renault","Youssef Achenchabe","Édouard Bertrand","Alexis Bondu","Antoine Cornuéjols","Vincent Lemaire","Asma Dachraoui"],"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}.","url_abs":"https://arxiv.org/abs/2408.12925v1","url_pdf":"https://arxiv.org/pdf/2408.12925v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ml-edm-package-a-python-toolkit-for-machine","repo_url":"https://github.com/ml-edm/ml_edm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"ml-edm-package-a-python-toolkit-for-machine","repo_url":"https://github.com/ML-EDM/ML-EDM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"decision-making","task_name":"Decision Making"},{"task_slug":"early-classification","task_name":"Early  Classification"},{"task_slug":"time-series-1","task_name":"Time Series"}],"methods":[{"method_slug":null,"method_name":"Library"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}