Predict anomalies on more than a single input field

[styagi]

Say we have an input tuple with values like <scalar1, scalar2, scalar3>

To predict anomalies on metric ‘scalar1’, we add this field to the inferred fields map. How can I add multiple fields to predict anomalies on all those fields (say scalar1 and scalar2) in a single HTM network instance?

[rhyolight]

Hello! See:

Predicting Multiple Output Values

Long time listener, first time caller I’ve been really excited about the NUPIC/Numenta project for some time, and I’m just recently getting to really sit down and start playing with the code. Really liking the HTM school videos by the way. I’m wanting to run a prediction to output multiple values. Is that possible? Looking through the documentation, I haven’t found how to do that. If I understand the theory correctly once it’s encoded there shouldn’t be any difference in predict…