Feature processing tradeoff management
作者： Leo Parker Dirac , Nicolle M. Correa , Charles Eric Dannaker
DOI:
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摘要: At a machine learning service, set of candidate variables that can be used to train model is identified, including at least one processed variable produced by feature processing transformation. A cost estimate indicative an effect implementing the transformation on performance metric associated with prediction goal determined. Based in part estimate, proposal excludes implemented.
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