Predictive vs generative model? Will we generally just be predicting based on older data (output column same as the input)? Ability to specify time delay (e.g. predictions for y(t) = u(t+7)...)?
-> Primarily time-based predictions of the same data.. (can have more input columns...); Yes, time-ahead as a parameter for the library.
The (y-axis) scales for training and testing plot are different. Should we require the same?
How should the plot for reservoirs comparison look? individual points? (scatter) or some more complex surface/mesh area?
MSE on unscaled data only?
-> Better only for scaled I/O, for interexample comparison.
LR not used for time-steps ahead prediction? It fits non-linear curve, when x(t) = y(t-1)...
-> Low-priority, we don't compare RC and LR on the same settings. Just demonstrate LR functionality, which we already did..
Leaky integration extension?
Should we make an example that demonstrates distributive (cluster) execution, fault-tolerance, and other Flink features?
Should the final project only contain most up-to-date files, or everything..? (possibility of 2 branches - 1 full, 1 light)
Supervisor address? In thesis spec.; Hope the assignment is OK, without signatures? (others have as well)