Fix a bug where categorical features created by interaction caused Training step 3 to crash #111
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Fixes #110.
We caught this bug because we set
strict=True
in the call tozip()
. Hooray!The user names these features in the config file. So they probably don't end in
_onehotencoded
like other categorical variables. To determine if a variable is categorical, we now check if its data type is"vector"
. If so, then we strip any_onehotencoded
suffix off of it and explode it fortraining_feature_importances
. This handles both normal and interacted categorical variables nicely.