I tried to play a bit with parameters, especially with resolution, n and w ones. My goal is also to obtain prediction values together with anomaly scores.
Reading at htm post it seems that n should be 300-400 while w around 21.
Moreover, about resolution, focusing on my data probably a better choice would be 0.01 instead of 0.1.
So using those probably I fits better my dataset obtaining higher anomaly scores. I’ve also noticed that n = 400 make the algorithm a bit slow. Which are the criteria to choose n and w?
In order to obtain also predicted values I printed also:
getClassification("read").getMostProbableValues(1)
but I obtain very strange values… sometimes null for example, sometimes already the same fixed value.