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monkeysingmonkeynew OP t1_j4z1fum wrote

Reply to comment by Equivalent-Way3 in [D] Is it possible to update random forest parameters with new data instead of retraining on all data? by monkeysingmonkeynew

Thanks! Do you have any more info on how to do it with XGBoost?

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Equivalent-Way3 t1_j50y33r wrote

Yep very simple. Say you have model1 that you trained already, then you just use the xgb_model argument in your next training.

In R (Python should be the same or close to it)

new_model <- xgb.train(data = new_data, xgb_model = model1, blah blah blah)
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