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"support vector machine"
Hi, I ran SVM with kernel type set to polynomial on RM and it used to work fine. But after more experiments It started to giving errors Cannot deliver AttributeWeights with parameter "kernel_type" set to "polynomial". May I know what I did wrong? After a few weeks, I reinstall RM and now Even the field changes , It used to be kernel shift =1, max evaluations= 500 , generations without improvement =10, population size =10, inertia weight =1.0 and global best weight =1.0 but now it changed to convergence epsilon= 0.001, max iterations = 100000, L pos = 1.0 etc. I am almost certain that I didn't use SVM (PSO)
Thanks in advance
Thanks in advance
0
Answers
to be honest I have never used an SVM besides the standard SVM and the libSVM with linear and rbf kernel, and once in a while the one-class svm. These implementations and kernels should be sufficient for all real-world applications and work reliably.
Best, Marius
I think Marius ment your process setup as XML as it is described here: http://rapid-i.com/rapidforum/index.php/topic,4782.0.html
But I have another question: How did you manage to place your operators outside the process panel?
Best,
Nils