Support Vector Machines

Please, Is there an implementation of a Support Vector Machine (SVM) package in Datashield? or is someone currently developing SVM for Datashield?

Given that support vector machines directly encode training data as part of the model this would be hard - unless you can embed the data in something like a differential private embedding first. There’s an example in the SafeSVC class in in the sacro-ml repo. But you would still have the issue of checking against class disclosure which ML models are as prone to as other forms of analysis

Moved thread to stats dev category.

Ok, thank you Jim-smith for suggesting SafeSVC.

Vielen Dank für Ihre Nachricht! Ich bin vom 17.03.2025 bis 21.03.2025 im Urlaub und daher in dieser Zeit nicht erreichbar.

Mit besten Grüßen Florian Schwarz

Thanks for your message! I am currently on holidays from 17/03/25 until 21/03/25 and therefore not available.

Best regards, Florian Schwarz

Gospel Ozioma nnadi via DataSHIELD notifications@datashield1.discoursemail.com 17.3.25 19:21 >>>

| gospelON
17 March |

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Ok, thank you Jim-smith for suggesting SafeSVC.