Unified parameter and feature access in machine learning models

US11461737B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Chang-Ming Tsai · Fremont, US
• Fei Chen · Palo Alto, US
• Songxiang Gu · Sunnyvale, US
• Xuebin Yan · Sunnyvale, US
• Andris Birkmanis · Redwood City, US
• Joel D. Young · Milpitas, US

Key dates

• Filing date: Apr 20, 2018
• Grant date: Oct 4, 2022
• Expiry date: Feb 13, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The disclosed embodiments provide a system for processing data. During operation, the system obtains a function call for a function that calculates an attribute associated with a machine learning model. For each argument of the function call, the system identifies a parameter type of the argument, wherein the parameter type represents a type of data used with the machine learning model. The system also obtains a value accessor for retrieving features specific to the parameter type and obtains a value represented by the argument using the value accessor. The system then calculates the attribute by applying the function to the value and uses the attribute to execute the machine learning model.