SELF-ADAPTIVE SYSTEM AND METHOD FOR LARGE SCALE ONLINE MACHINE LEARNING COMPUTATIONS

摘要

Aspects of the present disclosure involve systems, methods, devices, and the like for generating a self-adaptive system for large scale online machine learning computations. In one embodiment, a system is introduced that can generate and execute an optimization plan for combining nodes based on relationship information. The execution of the optimization plan can occur at both a static and dynamic state to determine how to best execute node combining. In another embodiment, pool isolation is executed base on the processing information associated with each node.