Hi Betrand
Thanks for the reply.
Well, what i have is n correlation matrices of the brain (n is the number
of participants in the study). The simplest kernel computes the dot product
between the n matrices. The kernel is further optimized using the NIPALS
algorithm (as in Rosipal, Trejo 2002) The
No this does not exist. It may be a good addition to the library, but
could you elaborate a bit on the use-case ?
A workaround to this could be to provide PLS Regression a feature
representation that implictily embodies the kernel similarity. Accoding
to the chosen kernel, this can be easy or
