Swarm description for hot gym anomaly example?

Engineering NuPIC
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Hi!
I’m wondering if it would be possible to make the swarm description for the one hot gym anomaly tutorial available on github? When I use model parameters which I have produced myself, doing my own swarming, I’m unable to get the nice anomaly scores and anomaly likelihoods which result if I use the model parameters in model_params/rec_center_hourly_model_params.py.
When I run swarming I used swarm_description.py from the prediction tutorial, except that I changed “TemporalMultiStep” to “TemporalAnomaly”. I also set “iterationCount” to -1 and “swarmSize” to “large”.
/Christian

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There was no swarm for the hot gym anomaly example. I just re-used the model params from the prediction example. The first few minutes of this video explains it:

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Thank you Matt for your quick reply! My response was less quick since I squeezed in a large swarming in between. Finally I succeeded with the anomaly scores, and I learned something: the swarming produces a better model if I set “inferenceType”: “TemporalMultiStep”, than if I set “inferenceType”: “TemporalAnomaly” (in swarm_description.py). Isn’t that a bit odd? After all I used the model for anomaly calculation.

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The swarming process is only looking for parameters that improve the quality of predictions on the predictedField. There is no way to swarm to optimize for anomaly detection. I am surprised the swarm even worked with inferenceType = TemporalAnomaly!

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