Described herein are techniques for a Machine Learning (ML) model to learn from a training set and predict the cause of a failure accurately. Although it is challenging for a human to identify the root cause of an issue when configuration and show command outputs are very large (e.g., for thousands of Internet Protocol (IP) routes), troubleshooting on a network device typically has to rely on a manual process with the help of some show commands.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.