Method and system for testing machine learning models

An electronic device comprising a processing element and a data storage element, the storage element storing code that, when executed by the processing element, causes the electronic device to perform a method for testing machine learning models, the method comprising:

• the electronic device receiving a machine learning model update data package;
• partially or fully updating a first machine learning model to generate a second machine learning model using the machine learning model update data package;
• executing the program, whereby the program executes both the first machine learning model and the second machine learning model using a common set of input data;
• and
• collecting outputs from the first machine learning model and the second machine learning model for analysis.

A non-transitory computer-readable storage medium containing code that, when executed by an electronic device, causes the electronic device to perform a method for testing machine learning models, the method comprising:

• the electronic device receiving a machine learning model update data package;
• partially or fully updating a first machine learning model to generate a second machine learning model using the machine learning model update data package;
• executing the program, whereby the program executes both the first machine learning model and the second machine learning model using a common set of input data;
• collecting outputs from the first machine learning model and the second machine learning model for analysis.