Hi, I'm trying to implement a classifier using a Cellular Neural Network (CNN, cp. Chua 1998). Though it comes from image processing, It can be used to do some binary classification. I want do incorporate it in the standard PyMVPA mechanisms, i.e. make it a classifier that can be trained, predict, and thus easily be used in a Cross Validation.
I would cherish a hint how to do this correctly. - The "BinaryCNNClassifier", from which class should it inherit? I guess not BinaryClassifier, as it is Meta Classifier and takes poslabels, neglabels arguments. - When "BinaryCNNClassifier" is done, I would use MulticlassClassifier to enable its multiclass capabilities I guess Greetings, Thorsten _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list Pkg-ExpPsy-PyMVPA@lists.alioth.debian.org http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
