Hello, I have a quick question about reconstruction with empirical data. In particular, I have two different types of observations for two partially overlapping sets of nodes. While I can surely apply the procedure explained in the examples on each data series and obtain two single networks, is it possible to use both evidences and infer a graph using a LayeredBlockState?
This syntax seems to be legit:
state = gt.PseudoNormalBlockState(s,
base=gt.LayeredBlockState)
But I wonder how I should feed the empirical values for each layer.
I apologize if this is somehow related to another question