FEATURE PROCESSING TRADEOFF MANAGEMENT

At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a p...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	BLICK, DANIEL, ZHENG, TIANMING, KRISHNAN, SRIRAM, CORREA, NICOLLE M, PUVVADI, SUDHAKAR RAO, LI, JIN, ZHUO, DONGHUI, BRUECKNER, MICHAEL, DANNAKER, CHARLES ERIC, ZARANDIOON, SAMAN, STEELE, ROBERT MATTHIAS, HERBRICH, RALF, DIRAC, LEO PARKER, QIAN, JUN, LEE, POLLY PO YEE, INGERMAN, ALEKSANDR MIKHAYLOVICH, RAMAKRISHNAN, RAKESH, AGARWAL, TARUN
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.