RapidMiner 9.7 is Now Available
Lots of amazing new improvements including true version control! Learn more about what's new here.
model from inside of "Optimize parameters" proces
I constructed model in which I: 1. optimize parameters on the basis of training data 2. By "Set parameters" I send optimal parameters to optimal learner (SVM) 3. I trained this SVM with this parameters on the basis of the training data 3.aafter that I used "Apply model" with test data and I get results.
I think this is basic way how to do this.
My question is: Inside of "Optimize parameters" model was built only with some partition of training data, because I used Crossvalidation and some (originally training) data was used for testing. And I want to get this model based on exactly this data and not model build with optimal parameters but on all training data. Is this possible? Isn't somewhere video or text about this? I found only tutorials where is some parts of this proces.
I hope my english is clear enough, and will be happy for answer