User 2568 | 3/10/2016, 11:50:28 PM
The latest release (v1.8.4) adds options for metric and earlystoppingrounds to boostedtreesclassifier.create and the training/validation score per iteration can be accessed though the model field 'progress'.
This is very much appreciated. Not having this was a major drawback when using GraphLab vs XGBoost in Kaggle competitions. Firstly, this saves me a lot of trying to find the optimum iterations, and I can now draw a cool curve of the train and validation scores vs iterations like this
I noticed these options have not been added to logisticclassifier.create. Are these options only for boostedtrees or will they be added to other classifiers/regressors over time?