How to develop regression function (Mathmatical form) from trained model using regression learner?

How to extract regression function in term of mathmatical form (or tool or excel sheet) from trained model using regression learner (Support Vector Regression).

Answer 1

[Aditya Patil]

In case of support vector machines(both for classification and regression), the score function/regression function might not be in terms of input predictors, hence it might not be possible to get the regression function. The coefficients can be obtained using

trainedModel.RegressionSVM

As a workaround, you can use other regression techniques such as linear regression, which derive output in terms of predictors.

[Manoj kumar Beriya]

Thanks, i have all details of regression trained model, but how to deploy this model in excel ?

[Aditya Patil]

https://se.mathworks.com/help/exlink/matlabfcn.html might be helpful in this case.

[Manoj kumar Beriya]

Thank You Sir, But how can deploy Regression Learner Loolbox model in "matlbfcn" ? Please explain it

[Aditya Patil]

You can export the model, and create a function that takes in a value, calls the predict function, and returns the output. Then call this function from excel using matlabfcn.

If you need further help, feel free to create a new question, as that would reach out to more people.

[Manoj kumar Beriya]

export the model and generate code through regression learner toolbox and got a function....trainRegressionModel

function [trainedModel, validationRMSE] = trainRegressionModel(trainingData)

can call this function to excel (matlabfcn) which generate through regression learner toolbox?

How will call this function in excel matlabfcn ?