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Towards a provenance-enabled, reproducible, and extensible machine learning platform by integrating databases, web services, containers, and code repositories in a loosely coupled manner
Author(s) -
R. Singh,
Peter Wilson,
Linda Gregory,
S Seaton,
Brendan Malone
Publication year - 2021
Publication title -
modsim2021, 24th international congress on modelling and simulation.
Language(s) - English
Resource type - Conference proceedings
DOI - 10.36334/modsim.2021.c4.singh
Subject(s) - computer science , extensibility , world wide web , database , code (set theory) , web service , programming language , set (abstract data type)

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