MIMO (Multi-input multi-output) system training in Regression Learner App

Dear MATLAB users,

I was wondering if there are any options for training a MIMO system in Regression Learner App in MATLAB?

As far as I know, we can train MISO (multi-input single-output) systems, but I can NOT find a way to set more than one response parameters (outputs)!

Any ideas?

Answer 1

[Anshika Chaurasia]

Hi,

Currently the Regression Learner App only supports having a single response variable.

There are several workarounds that allow you to include all of your response variables:

1) You can use either "mvregress" or "plsregress", depending on your specific data. Both regression functions support multiple response variables.

2) If your data fits better as a classification problem, for example if your response variables are binary values, you can use a classification algorithm instead of regression. To use a classification approach, you can ignore correlations between response variables and fit one response variable at a time. The Statistics and Machine Learning Toolbox contains various functions that begin "fitc...", for example "fitctree" and "fitclinear". The following documentation page discusses using a classification approach, and gives examples using several of these functions:

https://www.mathworks.com/help/stats/examples/classification.html

The function "fitglm" would also be a good fit for this approach; see the following documentation page for more information:

https://www.mathworks.com/help/stats/fitglm.html

Hope it helps!