I am using the sklearn wrapper for xgboost. I would like to generate a plot of AUC for both my train and test samples for each iteration as shown in the plot below.
In sklearn you can use warm_start to iterate one at a time so you can easily stop to evaluate performance. Is there a way to do the same thing using the xgboost sklearn wrapper?
