How to run "fitrsvm" command in Matlab R2014b?
1 view (last 30 days)
Show older comments
I am currently using Matlab R2014b, it doent support command "fitrsvm". I have to use Support Vector Machine. Kindly suggest me, how can i run my code using this command? As I am using this older version of Matlab.
Thank you.
0 Comments
Answers (1)
Pavan Sahith
on 21 Jun 2024
Edited: Pavan Sahith
on 21 Jun 2024
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
2 Comments
Pavan Sahith
on 21 Jun 2024
As of my knowledge , you need to update the MATLAB version to use the latest features
See Also
Categories
Find more on Gaussian Process Regression in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!