November 2021
Intermediate to advanced
432 pages
13h 22m
German
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KAPITEL 5
Entwurfsmuster für robustes Serving
Ein ML-Modell soll Rückschlüsse aus Daten ziehen, die es während des Trainings nicht gesehen hat. Sobald also ein Modell trainiert ist, wird es typischerweise in einer Produktionsumgebung bereitgestellt und verwendet, um Vorhersagen als Reaktion auf eingehende Anfragen zu treffen. Von Software, die in Produktionsumgebungen bereitgestellt wird, erwartet man, dass sie robust ist und nur wenige menschliche Eingriffe erfordert, um sie am Laufen zu halten. Die Entwurfsmuster in diesem Kapitel lösen Probleme, die mit Robustheit unter verschiedenen Umständen in Bezug auf ML-Modelle in der Produktion zu tun haben.
Das Entwurfsmuster Zustandslose Serving-Funktion ermöglicht der Serving-Infrastruktur, Tausende ...
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