Training a list of models in the ML Toolkit

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Hello,

Using the ML Toolkit, I am looking to train and and apply the OneclassSVM algorithm on a list of models. Basically I have aggregated a dataset and I have a bunch of users (over 500) and I want to train one model for each user. After that I also want apply the models on future values. So I am basically wondering if it is possible to for example loop through a list of users and apply the algorithm on each user? Or if I can use something like "| fit OneClassSVM ["features"] into model BY user |" statement or something similar?

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Training a list of models in the ML Toolkit

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Training a list of models in the ML Toolkit

[Puzzles] Solve, Learn, Repeat: Dynamic formatting from XML events

Enter the Agentic Era with Splunk AI Assistant for SPL 1.4

Stronger Security with Federated Search for S3, GCP SQL & Australian Threat ...