Hello Rahul,
I see that you are seeking an equivalent to the fitrsvm function for regression Support Vector Machines (SVMs) in MATLAB R2014b.
Unfortunately, fitrsvm is not available in this version. However, you can utilize the svmtrain function, which was used in earlier versions of MATLAB for training SVM models.
you can refer to this example which helps you get started with svmtrain:
load fisheriris
xdata = meas(51:end,3:4);
group = species(51:end);
svmStruct = svmtrain(xdata,group,'ShowPlot',true);
In this example , we load the Fisher Iris dataset, select a subset of features and classes, and then use svmtrain to train the SVM model. The ShowPlot option is set to true to visualize the data and the decision boundary.
Hope this will help you getting started
