Bad news: not directly. the design goal here is real-time scoring. You could write a process that queries an embedded Serving Layer, or, calls to one via HTTP. It's a bit more overhead, but certainly works. The bulk recommend function is a hold-over from the older code base, really. There wasn't an equivalent for classification. Good news: since the output is a PMML model, and libraries like openscoring exist, you could fairly easily wire up a Mapper that loads a model and scores data.
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