Erik Sverdrup

Hi @Hergie, a better approach might be to look at #1057, #973. (in general you can make GRF more likely to split on a covariate Xj by just duplicating it...

Hi @ak1997892, there isn't one available currently, though it would definitely be a feature to consider.

@tianshengwang looking at the code it seems ```R best_tree_info$best_tree ``` should be the best tree

@tianshengwang what exactly is the output you are after?

@tianshengwang could you share an example of what you wanted? Maybe we can add functionality to retrieve it in #661. Thanks!

Hi Stephen, We haven't added tuning for this forest yet, it'll maybe be added at some point. You can however assess model performance by calculating the implied loss (R-loss mentioned...

Memory scales linearly in number of trees, so you can fit a forest with num.trees = 1 (and ci.group.size = 1) to extrapolate. Bumping up min.node.size (shallower trees), or reducing...

Hi @adeldaoud, let's wait and hear what @carloscinelli's thoughts are, this is not something we have spent a lot of time thinking about for GRF.

Hi @crudup, no, sorry, this is not something that easily extends to GRF (#533)

Hi @yujias424, do you have reference where a risk ratio under continuous treatment is defined? (that's not something I've come across before). If you just want something analogous to E[Y(0)|X]...