sklearn.model_selection._search.GridSearchCV(estimator=pairwise.padre.PairwiseDifferenceClassifier(estimator=sklearn.ensemble._forest.ExtraTreesClassifier))

Exhaustive search over specified parameter values for an estimator. Important members are fit, predict. GridSearchCV implements a "fit" and a "score" method. It also implements "score_samples", "predict", "predict_proba", "decision_function", "transform" and "inverse_transform" if they are implemented in the estimator used. The parameters of the estimator used to apply these methods are optimized by cross-validated grid-search over a parameter grid.