System and method for scalable machine learning modeling

Abstract

A method, a network device, and a non-transitory computer-readable storage medium are described in relation to a scalable machine learning modeling service. The scalable machine learning modeling service including receiving analytics datasets pertaining to a network services metric and collected for a plurality of network elements over past intervals; performing a clustering procedure to generate a plurality of clusters formed using the analytics data for the plurality of network elements, each cluster including multiple network elements; selecting a representative network element of the multiple network elements for each of the clusters; determining a set of model hyperparameters based on searching of hyperparameter spaces associated with each representative network element; applying the set of the model hyperparameters for tuning each of the multiple network elements in a cluster; and model training each of the multiple network elements in the cluster to score the network services metric for upcoming intervals.