@jichaohe @jichaohe @elliegreib @kevweath well actually there is a way to do this. One could employ a Python node and H2O.ai in the background to extract a buch of parameters and also the summary from the MOJO model file. Though admittedly not the most elegant way you could have the information in a file 
kn_example_ml_regression_h2o_glm_parameter.knwf (222.2 KB)
If you are interested you might also check out these article and workflows (I plan on having a walkthrough on some H2O.ai AutoML code also …):