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When the API had originally been designed, it was assumed that the presence of the time splitting method implies no requirement for the machine learning backend and that it is a sign of less performance demanding models. So it seemed to be safe and useful to have such models automatically enabled. That assumption did not prove to be valid. Most of the time is spent calculating indicators that depend on log tables. We realized it would be useful to be able to specify the default time splitting method without the need to have such models auto-enabled.