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Friday, November 15, 2024

swift – Creating an ML Mannequin in an iOS App Primarily based on Consumer Information


I am engaged on an iOS app that goals to combine a Machine Studying (ML) mannequin that dynamically trains on particular person knowledge. My objective is for the mannequin to be created instantly on the iPhone and to supply personalised predictions based mostly on every person’s knowledge.

I need to calculate the optimum for every person. However as a result of within the discipline I want it for everyone response is totally different I cant simply accumulate knowledge from a number of customers after which prepare the mannequin as soon as after which use it within the app (for every person the identical entries would/ought to give one other prediction, which isn’t the case if I prepare it with umulptiple customers as a result of then its not personalised anymore).

I plan to generate a CSV file containing person knowledge for use for coaching and predictions. I need to be sure that the mannequin solely makes use of the respective person knowledge to ship tailor-made outcomes.

Has anybody had expertise or tips about how one can implement this successfully? Are there particular libraries or strategies I ought to think about?

Thanks prematurely in your assist!

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