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
Component:MATLAB Function | Category:Coder error
Component:Simulink | Category:Model error
Please help.
