November 2021
Intermediate to advanced
432 pages
13h 22m
German
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Entwurfsmuster 25: Workflow-Pipeline
Im Entwurfsmuster Workflow-Pipeline gehen wir das Problem an, eine durchgängig reproduzierbare Pipeline zu erzeugen, indem die Schritte in unserem ML-Prozess containerisiert und orchestriert werden. Die Containerisierung lässt sich explizit bewerkstelligen oder mithilfe eines Frameworks, das den Vorgang vereinfacht.
Problem
Ein einzelner Data Scientist mag in der Lage sein, die Schritte von Datenaufbereitung, Training und Modellbereitstellung (dargestellt in Abbildung 6-6) von Anfang bis Ende mit einem einzigen Skript oder Notebook zu absolvieren. Wenn jedoch jeder Schritt in einem ML-Prozess komplexer wird und mehr Personen in einer Organisation an dieser Codebasis mitwirken wollen, lässt sich die Ausführung ...
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