Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2024 English Publisher:Ubiquity Press, Ltd.Journal:Data Science Journal, volume 23 (issn: 1683-1470,

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Authors: Kenneth E. Schackart; Heidi J. Imker; Charles E. Cook;

doi: 10.5334/dsj-2024-023 , 10.5281/zenodo.7767793 , 10.5281/zenodo.7767794

Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow

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Abstract

This manuscript is a "comment" article describing the efforts made in developing a reproducible machine learning-enabled workflow. We intend to submit this manuscript for peer review.

Related Organizations

University of Illinois at Urbana Champaign
United States
Bibliothèque Nationale Universitaire de Strasbourg
France
HBCU Library Alliance
United States
University of Arizona
United States

Keywords

biodata resource inventory, Q1-390, FAIR data, Science (General), computational reproducibility, open science, machine learning workflow, research software, fair data, Python

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