Error: Errors occurred during parsing of MATLAB function

Hi guys,

I have created a prediction model for a variable in a process, based on the inputs and different sensor readings. I used "saveLearnerForCoder" for saving this prediction model. The prediction done using a dataset that contains 8 fields (input) and one response. I have a simulink model of the process. There i am trying to use a matlab function block that receives the inputs from the process. Inside the function block, I need to use "loadLearnerForCoder" for accessing the prediction model and use it for prediction for the inputs received. ( Note: The input data format, number of filds received are the same as that in the prediction model). The matlab function block receives a concatenated matrix that has 8 fields. It is supposed to utilize the prediction model and predict the response. But I am getting the following error.

"You must pass X as a matrix with 8 columns. Function 'MATLAB Function' (#76.455.481), line 15, column 8: "predict(CompactMdl,mydata)" Launch diagnostic report.

Component:MATLAB Function | Category:Coder error

Errors occurred during parsing of MATLAB function 'Integratedbenchmarkk/MATLAB Function'

Component:MATLAB Function | Category:Coder error

Errors occurred during parsing of MATLAB function 'Integratedbenchmarkk/MATLAB Function'

Component:Simulink | Category:Model error

Please help.

Answer 1

[Drew]

MathWorks provides specific Simulink blocks for ML model prediction. Using one of these Simulink blocks may satisfy your use-case. You can find these blocks at https://www.mathworks.com/help/stats/code-generation.html

Here is an image from that doc page:

If this answer helps you, please remember to accept the answer.

[Prana]

Thank you so much.