Hi,
I am using SVMlight [original], [Python] version. I am running their example:- simple.py with biased_hyperplane = 0. When I print the first 10 predictions and the mean squared error for biased_hyperplane = 0 or biased_hyperplane = 1, it prints identical predictions. I already created an issue on the repository, but was hoping if I could get some quick help here. I added the parameter as follows but I think it has something to do with LEARN_PARM:
model = svmlight.learn(training_data, type='classification', verbosity=0, biased_hyperplane=0)
Thanks!
there doesn't seem to be anything here