#NEWLINE# def predict( self , X ) : #NEWLINE# #INDENT# ' Predict target values for X.\n\n        Parameters\n        ----------\n        X : {array-like, sparse matrix}, shape = [n_samples, n_features]\n            Training vectors, where n_samples is the number of samples and\n            n_features is the number of features.\n\n        Returns\n        ----------\n        y_target : array-like, shape = [n_samples]\n            Predicted target values.\n        ' #NEWLINE# meta_features = self . _predict_meta_features ( X ) #NEWLINE# return self . meta_regr_ . predict ( X )