公开(公告)号：US20220366300A1

公开(公告)日：2022-11-17

申请号：US17322184

申请日：2021-05-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Tsuwang HSIEH ,  Behnaz ARZANI ,  Ankur MALLICK

IPC: G06N20/00

Abstract: A cloud-based service uses an offline training pipeline to categorize training data for machine learning (ML) models into various clusters. Incoming test data that is received by a data center or in a cloud environment is compared against the categorized training data to identify the appropriate ML model to assign the test data. The comparison of the test data is done in real-time using a similarity metric that takes into account spatial and temporal factors of the test data relative to the categorized training data.