公开(公告)号：US20250131241A1

公开(公告)日：2025-04-24

申请号：US18493728

申请日：2023-10-24

Applicant: Cisco Technology, Inc.

Inventor： HOSSEIN MOOSAVI ,  MISHA NOSSIK ,  BEN ASTELL ,  OMID MEHRABIAN

IPC: H04L41/16 ,  G06N3/0442 ,  H04L41/14

Abstract: Methods and devices provide machine learning of mappings between test script endpoints and network configuration and state differences described according to YANG models. Such machine learning is implemented in a network environment by a training workflow and a production workflow, each implemented across a network device and a machine learning computing system, and each utilizing a learning model which includes an encoder-decoder architecture. The learning model is trained on training datasets which include mappings of executable endpoints to YANG model differences, generated by telemetry capture in network environments to generate training datasets.