I am trying to use XGBoostClassifier as part of the sklearn pipeline interface, and the latest version throws the following error:
xgboost.core.XGBoostError: b"Invalid Parameter format for num_feature expect int (non-negative) but value='sqrt'"
This happens when I use the range of values for num_feature to be
range_num_feature = ['sqrt', 0.25, reduced_dim]
it did work in prior version(s) when I first implemented it. Now the xgboost docs say
[set automatically by XGBoost, no need to be set by user] , which appears to be a “soft” warning, but not a prohibition of use.
Any idea what’s going on? Should I stop using that parameter altogether, or only string spec is not allowed?