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.
I am using version 1.1.5 and when I plot the hgb.plot_params() the figures do not appear to be complete (i.e missing parameter graphs and graph contents).
I am using version 1.1.5 and when I plot the hgb.plot_params() the figures do not appear to be complete (i.e missing parameter graphs and graph contents).