SAP SE
RUNTIME ESTIMATION FOR MACHINE LEARNING DATA PROCESSING PIPELINE

Abstract:

Inputs may be received for constructing a data processing pipeline configured to implement an process to generate a machine learning model for performing a task associated with an input dataset. The process may include a plurality of machine learning trials, each of which applying, to a training dataset and/or a validation dataset generated based on the input dataset, a different type of machine learning model and/or a different set of trial parameters. The machine learning model being generated based on a result of the plurality of machine learning trials. A runtime estimate for the process to generate the machine learning model may be determined. The runtime estimate may enable the allocation of a sufficient time budget for the process. Moreover, the process may be executed if the runtime of the process does not exceed the available time budget.