I build an HTM model that need to find anomaly on my datasets, I am using only with the raw anomaly score.
My question is, I need to apply swarming mechanism on my model ? or swarming improve and efficient only in classification problem?.
What the difference in the swarming mechanism between classification and anomaly prediction?
I want to swarm only the HTM model parameters like Cells Per Column, the encoders params I want to define by myself, so using the getScalarMetricWithTimeOfDayAnomalyParams not suitable to my case… in addition, I am working only with the raw anomaly score (prediction cells vs actual cells).