• Detailed Implementation of a R...

Treffer: Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow

Title:
Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow
Authors:
Schackart III, Kenneth E., orcid:0000-0002-1658-, Imker, Heidi J., Cook, Charles E.
Publisher Information:
Zenodo
Publication Year:
2023
Collection:
Zenodo
Subject Terms:
computational reproducibility, FAIR data, open science, research software, Python, machine learning workflow, biodata resource inventory
Document Type:
Report report
Language:
English
Relation:
https://zenodo.org/communities/gbc/; https://zenodo.org/records/7767794; oai:zenodo.org:7767794; https://doi.org/10.5281/zenodo.7767794
DOI:
10.5281/zenodo.7767794
Availability:
https://doi.org/10.5281/zenodo.7767794
https://zenodo.org/records/7767794
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.6961AAEF
Database:
BASE

Weitere Informationen

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.