NETWORK-BASED MACHINE LEARNING MODEL DISCOVERY AND BENCHMARKING

摘要

A method may include a processing system having at least one processor receiving a data processing task from a user device, determining a plurality of sub-tasks of the data processing task, determining a plurality of machine learning models for performing the plurality of sub-tasks, and arranging the plurality of machine learning models into a plurality of candidate solutions for performing the data processing task. The processing system may further evaluate the plurality of candidate solutions using a test data set to provide measures of a plurality of performance metrics for each of the plurality of candidate solutions, and provide a solution comprising one of the plurality of candidate solutions to the user device, where the solution is selected based upon the measures of the plurality of performance metrics.