Weka's RF indeed doesn't have an option for dynamic retrain, but there are other algorithms (variations of the original RF) which have this option. This is one example: http://www.ymer.org/amir/software/online-random-forests/
Updatable Random Forests
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24-09-2022 - |
문제
I use Random Forests for data forecasting and would like to continuously update the trained model using only new data instead of periodically re-training the model on the whole historical data. It seams to me that RF is not built to be updatable but ?
I use Weka's RF but any theoretical solution or experience on another solution could be of great help. Thank you
해결책
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