Hello,
First of all i read the FAQ and many posts in the forum asking similar questions to mine, but my problem is a bit different
I have designed a process in RapidMiner to Train a Classifier ( SVM ) which will end up with a classification model.
before understanding RapidMiner Philosophy i was thinking that the only way to utilize the Model in my application is to get the ( real-valued weights ) of the mathematical model from somewhere and hard-coding them in my application
my first question here, is previous idea a bad one?
my next question is, i understand that the best practice is to design the process in RapidMiner and then supply its .xml file path from inside my code. BUT , my need is a SVM Classification Model, to which i pass unlabelled vector , and it will return me the predicted label. this is not a parameter to set. i imagine it like this:
svmModel.predict ( [ 1 , 2 , 3 , 4 ] );
i need a help in What to do to end up with the Model being usable from inside my code
thanks in advance 
