GradientBoostingRegressor

URI: https://gptkb.org/entity/GradientBoostingRegressor

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:model gptkb:regression_model
gptkbp:availableOn	gptkb:scikit-learn
gptkbp:basedOn	gradient boosting
gptkbp:baseEstimator	gptkb:tree
gptkbp:canBe	categorical features (with preprocessing) numerical features
gptkbp:developedBy	gptkb:scikit-learn
gptkbp:documentation	https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html
gptkbp:ensembleMethod	yes
gptkbp:featureImportancesAttribute	feature_importances_
gptkbp:fitMethod	fit(X, y)
gptkbp:hyperparameter	loss learning_rate max_depth max_features min_samples_leaf min_samples_split n_estimators subsample
gptkbp:implementedIn	gptkb:Python
gptkbp:introducedIn	scikit-learn 0.9
gptkbp:output	continuous values
gptkbp:predictMethod	predict(X)
gptkbp:randomStateParameter	random_state
gptkbp:supports	early stopping feature importance custom loss functions
gptkbp:usedFor	regression
gptkbp:bfsParent	gptkb:scikit-learn_GradientBoosting
gptkbp:bfsLayer	6
https://www.w3.org/2000/01/rdf-schema#label	GradientBoostingRegressor