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Description
Hello everyone, and thank you for this amazing library—I'm genuinely grateful for the great work! I've been using the JS library model for a few days now, and it performs exceptionally well.
However, I noticed that the adapt() method isn't exposed, and the JS demo also doesn't include an initial personalisation or calibration procedure. I've used the automatic clickstream to calibrate the model, but I feel like the performance degrades if too many clicks accumulate in a specific area.
I was wondering if there was a particular reason for omitting the adapt() method from the JS implementation. Also, this might warrant a separate issue, but I noticed that while the research paper describes MAML meta-learning, the actual library relies on an affine transformation and a one-step Adam optimiser. Could you share the reasoning behind these decisions?
Thanks again for your hard work!