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More support for tree-based regressors #3598
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It would be nice to add both of those, but it's not completely trivial. For |
Hey @rcurtin, can I implement RandomForestRegressor and AdaBoostRegressor? Randomforest is pretty simple, and for AdaBoost there is some work to do. |
This issue has been automatically marked as stale because it has not had any recent activity. It will be closed in 7 days if no further activity occurs. Thank you for your contributions! 👍 |
Are there any plans to add more support for tree-based regression algorithms?
There is a
DecisionTreeRegressor
, but unfortunately not forAdaBoost
orRandomForest
.I have used these for regression tasks in Scikit-Learn, and they have worked well for certain tasks.
It would be great if I could switch to mlpack here as well.
I have no idea what the effort would be, but I wonder: aren't the corresponding classifiers already half the rent?
A tangential discussion has been started in #3015 (comment)
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