Hi folks. As the title says, I’m wondering how to predict multiple output fields from a temporal mmory’s SDRs. For example with the well-known hotgym example, one can use a simple ML regressor to translate from the minicolumn or cell SDRs into a scalar power value, but those SDRs also contain timestamp data. What’s a practical way to simultaneously extract all of that information?
I’ve glanced through the thread here https://discourse.numenta.org/t/predicting-multiple-output-values but didn’t gain any insights about the methods used.