XGBMulti.py

classifier = MultiOutputClassifier(XGBClassifier())

clf = Pipeline([('classify', classifier)])

print (clf)

------------------------------------------------
Pipeline(steps=[('classify',
                 MultiOutputClassifier(estimator=XGBClassifier(base_score=None,
                                                               booster=None,
                                                               colsample_bylevel=None,
                                                               colsample_bynode=None,
                                                               colsample_bytree=None,
                                                               gamma=None,
                                                               gpu_id=None,
                                                               importance_type='gain',
                                                               interaction_constraints=None,
                                                               learning_rate=None,
                                                               max_delta_step=None,
                                                               max_depth=None,
                                                               min_child_weight=None,
                                                               missing=nan,
                                                               monotone_constraints=None,
                                                               n_estimators=100,
                                                               n_jobs=None,
                                                               num_parallel_tree=None,
                                                               random_state=None,
                                                               reg_alpha=None,
                                                               reg_lambda=None,
                                                               scale_pos_weight=None,
                                                               subsample=None,
                                                               tree_method=None,
                                                               validate_parameters=None,
                                                               verbosity=None)))])