Milad Shahidi
Milad Shahidi
I'm using `StackingCVClassifier` and one of my classifiers is an `XGBoostClassifier` instance and I'm trying to pass a parameter (early_stopping_rounds or simply verbose) to its fit method via the fit...
For the sake of reproducibility (and convenience), it would be useful if one could pass `random_state` to `iterative_train_test_split` as an argument, to set the random_state of the internal `IterativeStratification` object.
Thank you for this helpful notebook. Can you explain why you return the best cv scores in the objective function? Isn't that an overly optimistic (upward bias) measure of performance?...