Input processing for machine learning

A record extraction request for a data set is received at a machine learning service. A plan to perform one or more chunk-level operations (such as sampling, shuffling, splitting or partitioning for parallel computation) on chunks of the data set is generated. A set of data transfers that results in...

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Bibliographische Detailangaben
Hauptverfasser: Ramakrishnan, Rakesh, Zheng, Tianming, Dirac, Leo Parker, Zhuo, Donghui, Li, Jin
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:A record extraction request for a data set is received at a machine learning service. A plan to perform one or more chunk-level operations (such as sampling, shuffling, splitting or partitioning for parallel computation) on chunks of the data set is generated. A set of data transfers that results in a particular chunk being stored in a particular server's memory is initiated to implement the first chunk-level operation of the sequence. A second operation such as another filtering operation or a feature processing operation is performed on a result set of the first chunk-level operation.