Open odedfisc opened 5 years ago
Many thanks
Has there been any progress on this?
I would also be interested in a port of XGBoost, an algorithm that regularly beats the other ensemble methods. After all, the package provides a sklearn API so it sort of belongs to the sklearn model zoo. Any plans on that?
GradientBoostingClassifier: I will check and compare the final result of a GradientBoostingClassifier with other combined (ensemble) classifiers like
ensemble.AdaBoostClassifier
,ensemble.ExtraTreesClassifier
orensemble.RandomForestClassifier
. If the computed results and data structure is the same, it will be simple to support and add this classifier.CalibratedClassifierCV: The CalibratedClassifierCV is a cross validator estimator.
So it's an encapsulation of the
base_estimator
. But today there is no automatic check, decapsulation and export of thebase_estimator
. But I will add it like thePipeline
,GridSearchCV
orRandomizedSearchCV
(source: Porter.py#L75-L87).As a workaround you can try to assign the base estimator directly:
Porter(clf.base_estimator)