Discussion continued from Anomaly detection - params and questions / definition of terms.
Finally got a running Java / NuPIC app working and have built a list of questions along the way:
a - When I run ~20K iterations of my dataset (timestamp, param0, p1, p2, result) where only the timestamp and result fields are changing - the values for ‘SDR.cellsAsColumnIndices(inf.getPredictiveCells(), …)’ and ‘inf.getAnomalyScore()’ never change. The first being integers from 0-18 and the second being 0.0 consistently. Is this insufficient data to find patterms?
b - The ‘hot gym’ sample seems to find an equilibrium fairly rapidly. Perhaps my data is not regular enough within the span of time?
c - How would I expand the ‘memory’ of the HTM setup? IE What governs how far back it looks to build an anomaly ‘model’?
d - How does nupic deal with timestamped data that’s out of sequence?