ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics
ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Many machine learning (ML) libraries are accessible online for ML practitioners. Typical ML pipelines are complex and consist of a series of steps, each of them invoking several ML libraries. In this demo paper, we present ExeKGLib, a Python library that allows users with coding skills and minimal ML knowledge to build ML pipelines. ExeKGLib relies...
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ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics
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TN_cdi_proquest_journals_2809962129
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2809962129
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E-ISSN
2331-8422
