Is there a way for a single model to predict multiple outputs?

rhyolight · June 11, 2018, 3:52pm

Allow predictions for multiple fields per model

opened 10:57PM - 04 Jan 15 UTC

subject:algorithms subject:swarming status:help wanted priority:3

It would be nice if you could specify multiple fields to make predictions for. …This will require a change to the CLAModel to support multiple classifier regions. It currently supports only one with the region name "Classifier": https://github.com/numenta/nupic/blob/0cc904e5835a45e541eb0cac92901271b8f91108/nupic/frameworks/opf/clamodel.py#L1117 Additionally, the OPF and description.py format will need to be updated to support multiple fields to predict. It require some changes to metrics or swarming so it knows which field (or fields?) to use for optimization. There are two implementations of the classifier, so we will need a task in nupic.core for the C++ implementation.

You might find some guidance in that discussion.

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Is there a way for a single model to predict multiple outputs?

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