Does GetFeatureWeights support categorical splits?

Version: 1.0

I'm training my multi class LightGBM with mostly categorical features (which works great). But when I want to get the `GetFeatureWeights` from the binary predictors I get huge values for feature of index `-1`. Though, just inspecting the models in the debugger the trees almost exclusively use categorical features for the splits. It seems that the `GainMap` doesn't actually consider any categorical splits and just assigns all those gains to the index `-1` which makes the feature weights vector completely useless in my case.

Is this something that will be supported? Or am I wrong here?