Variations in experiment graphs for machine learning

Variations in experiment graphs for machine learning

Executing a graph. A method includes identifying that a graph includes one or more nodes having input ports that are coupled to alternative inputs. The method further includes identifying permutations of inputs where each permutation uses one of the alternative inputs. The method further includes ex...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lipkin, Lev, Cheng Tsui, Chi Ken, Karloff, Anthony Christopher, Matiach, Ilya
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Executing a graph. A method includes identifying that a graph includes one or more nodes having input ports that are coupled to alternative inputs. The method further includes identifying permutations of inputs where each permutation uses one of the alternative inputs. The method further includes executing the graph for each of the identified permutations. The method further includes identifying a metric for each execution of the graph for each of the permutations. The method further includes providing a user with an indication of the metrics.