I have a problem with the predictions that NuPIC makes and I am trying to figure out if there is a mistake or not.
My predicted variable is set to be clipped by the encoder at some minimum and maximum values (MODEL_PARAMS). Nevertheless, NuPIC frequently yields predictions that lie outside of that range. As far as I understand the CLA classifier, this should not be possible. So my question is whether it is possible to have values predicted outside of the clipped range.
I also have a minor secondary question: is it possible to nullify the input space for one particular variable? I have some missing data, but want to make full use of the other variables at the same point in time. So instead of passing an encoded ‘0’, I would like to pass nothing at all for that area of the input space.