# Which features are selected in isolation forest h2o?

As a method for anomaly detection, I'm looking at isolation forest in the H2O implementation in Python. I'd like to identify the features corresponding to a certain data point in a tree. I can see that there is a method, predict_leaf_node_assignment, that tells which branch of a tree is associated to a data point. Is there a method that also tells which features correspond to a certain tree bifurcation?