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Use Smile ARM/FP Growth to make predictions

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I'd like to use the Smile association rule API (the FP Growth algorithm) to train a model and make predictions.

Once the model is trained and has association rules, is there a way to use it with a new item set to determine an item that generally comes with the items of the item set?

Spark MLlib does that. I was wondering if I could do the same with Smile.

Thanks in advance.

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