公开(公告)号：US20230098379A1

公开(公告)日：2023-03-30

申请号：US17951064

申请日：2022-09-22

Applicant: Tektronix, Inc.

Inventor： Mark Anderson Smith ,  Sunil Mahawar ,  John J. Pickerd ,  Sriram K. Mandyam

IPC: G06N20/00 ,  G06K9/62 ,  G06N3/02

Abstract: A test and measurement machine learning model development system includes a user interface, one or more ports to allow the system to connect to one or more data sources, one or more memories, and one or more processors configured to execute code to cause the one or more processors to: display on the user interface one or more application user interfaces, the application user interfaces to allow a user to provide user inputs; use and application programming interface to configure the system based on the user inputs; receive data from the one or more data sources; apply one or more modules from a library of signal processing and feature extraction modules to the data to produce training data; apply one or more machine learning models to the training data; provide monitoring of the one or more machine learning models; and save the one or more machine learning models to at least one of the one or more memories. A method for operating a machine learning model development system includes displaying, on a user interface, one or more application user interfaces, the application user interfaces allowing a user to provide user inputs, configuring the system based on the user inputs through an application programming interface, receiving data from one or more data sources, applying one or more modules from a library of signal processing and feature extraction modules to the data to produce training data, applying one or more machine learning models to the training data, providing monitoring of the one or more machine learning models, and saving the one or more machine learning models to at least one of the one or more memories.