[pymvpa] Make own classifier, binary to multiclass

[Thorsten Kranz]

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