Post

Replies

Boosts

Views

Activity

Reply to How to create a core ml model programmatically
Hello. What you need currently exists only on macOS with Xcode by using Create ML framework. You can find documentation here - https://developer.apple.com/documentation/createml/creating_a_model_from_tabular_data. You can't use Create ML framework today in your apps. Only available into scripts and playgrounds. But you can easily create Core ML models on servers using Turi Create - https://github.com/apple/turicreate. It works fine with Tabular data - https://apple.github.io/turicreate/docs/userguide/sframe/tabular-data.html. My suggestion if you want to ensure privacy for your users: use encryption with server (end-to-end encryption is the best) upload real data with a UUID and append fake data with random UUID (ie. 1 good sample, 3 fake samples) store the "good" UUID locally download results later by sending UUID (ie. 1 good UUID, 3 fake UUID) server will return good result + random results use local UUID to identify good result. If your model is public and can be used by any user, you can use distribute it by using model deployment - https://developer.apple.com/videos/play/wwdc2020/10152/ presented this year. And, once Create ML will be available for apps, you will be able to make it available for your users.
Jun ’20