monkeysingmonkeynew OP t1_j4un2xm wrote
Reply to comment by __lawless in [D] Is it possible to update random forest parameters with new data instead of retraining on all data? by monkeysingmonkeynew
OK I can almost see this working, thanks for the suggestion. The only thing that would prevent me from implementing this solution is that by taking the sum of the two models, it would let m_1 give as equal a contribution to the result as m_1. However I expect a single days data to be noisy, Thus I would need the contribution of the new days data to be down weighted somehow.
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