Predict anomalies on more than a single input field

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?

Hello! See:

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