Slow Treebagger Prediction Time for One Datapoint

Hi,

I'm looking to use a Treebagger model as part of a project, and I'd like to call this model in a loop, with inference time under 0.1 seconds. I've trained a few models on data, and I've noticed that calling predict(Model,Examples(1)) takes ~2 seconds, while calling predict(Model,Examples(1:1000)) takes a similar amount of time, and predict(Model,Examples(1:10000)) takes ~3 seconds. This seems to mean that there's a startup time associated with calling predict(Model,Examples()).

Is there a way to use this Treebagger model in a loop, and avoid the ~2 second startup time each time I call it?

Note: when testing this on individual trees from the Treebagger model, I've found a proportionally similar startup time for predict().

Any help is appreciated.

Best,

SP