I have created a trainedModel for my data by using Train Regression Models in Regression Learner App. After I exported my model to workspace, I'm looking for a way to write my equation on a paper as y = variable1......Variable 16. The reason I need this is to see how these variables are correlated. Is there any way to study this? I see the trainedModel structure but I can’t see the equation in terms of formal. Any idea please?
I have this:
yfityfit = trainedModel.predictFcn(T)
struct with fields:
RegressionTree: [1×1 classreg.learning.regr.CompactRegressionTree]
About: 'This struct is a trained model exported from Regression Learner R2019a.'
HowToPredict: 'To make predictions on a new predictor column matrix, X, use: ↵ yfit = c.predictFcn(X) ↵replacing 'c' with the name of the variable that is this struct, e.g. 'trainedModel'. ↵ ↵X must contain exactly 16 columns because this model was trained using 16 predictors. ↵X must contain only predictor columns in exactly the same order and format as your training ↵data. Do not include the response column or any columns you did not import into the app. ↵ ↵For more information, see How to predict using an exported model.'