hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.
There is an error when f1 score is used for multı-class classification. The error of line is on hgboost.py:904 while calculating f1 score, average param default is binary which is not suitable for multi-class.
There is an error when f1 score is used for multı-class classification. The error of line is on hgboost.py:904 while calculating f1 score, average param default is binary which is not suitable for multi-class.