ArXiv paper introducing fastml, a framework for safer automated machine learning in R. Proposes guarded resampling workflows to improve reliability and reduce failure modes in AutoML systems.
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fastml: Guarded Resampling Workflows for Safer Automated Machine Learning in R
fastml introduces guarded resampling workflows to AutoML in R, reducing failure modes and improving pipeline reliability through safer cross-validation strategies.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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