Dimitris Sacharidis
Dimitris Sacharidis
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HYPPO - Using Equivalences to Optimize Pipelines in Exploratory Machine Learning
We propose HYPPO, a novel system to optimize pipelines encountered in exploratory machine learning. HYPPO exploits alternative computational paths of artifacts from past executions to derive better execution plans while reusing materialized artifacts.
Antonios Kontaxakis
,
Dimitris Sacharidis
,
Alkis Simitsis
,
Alberto Abelló
,
Sergi Nadal
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