Dear all, I would like to update a Xgboost algorithm embedded into a workflow with new data. I cannot find a way to do that except by running again the workflow on the augmented data (previous ones and the new ones). I know that it is possible with keras for neural network to start from save values but I am not sure it is possible for other approaches.If someone has a solution?
Many thanks in advance.
jb
You'll have to completely refit for a tree-based model :-/
This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.
If you have a query related to it or one of the replies, start a new topic and refer back with a link.