Does anyone know for when Rocket is applied in the multivariate setting how random kernels are generated?
Namely is a 1-D kernel randomly generated and applied to a randomly selected feature?
Or is a 2-D kernel generated randomly and this kernel is applied using all features?
Neither the original paper nor the documentation of packages that implement the algorithm seem to mention anything about it.