Prediction with hierarchical model

[juangil]

Hi, again
I'm working in this moment with multiple output GP's and the hierarchical model, the thing is that for the prediction part it's not clear to me which kernel do i have to pass to model.predict(..., kernel) function, for example if i want to make predictions for new inputs over each observed replicates, my intuition and one of the parts of the notebook(https://github.com/SheffieldML/notebook/blob/master/compbio/Hierarchical.ipynb) suggest me that i should pass the hierarchical kernel and not the parent kernel used to predict the underlying trend of all the observations, am i right?
Thanks in advance