Gunar Maiwald

Testing is a de facto standard in modern software development. With increasing awareness that comes with ML-Ops, testing becomes more important for the development and operation of machine learning-based components.

Running machine learning models in a production environment brings its own challenges. In this talk we would like to present our solution of a machine learning lifecycle for the text-based cataloging classification system from idealo.de.