I was looking at this answer to visualize the gradient boosting tree model in H2O, it says the method on GBM can be applied to XGBoost as well:
Finding contribution by each feature into making particular prediction by h2o ensemble model
http://docs.h2o.ai/h2o/latest-stable/h2o-docs/productionizing.html
But when I try to use the method it mentioned on H2O XGBoost MOJO, it fails.
I check the source code of hex.genmodel.tools.PrintMojo:https://github.com/h2oai/h2o-3/blob/master/h2o-genmodel/src/main/java/hex/genmodel/tools/PrintMojo.java
it seems like it can only work on randomforest and GBM models, but not XGBoost model.
Is there anyone who knows how to visualize trees in H2O XGBoost model? Thanks!