When training a random forest, the scikit-learn package returns the feature importances (see http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html), where the feature importance metric is the mean decrease impurity (as described here http://blog.datadive.net/selecting-good-features-part-iii-random-forests/). Can ML.Net also provide this information?