def test_base(): """Check BaseEnsemble methods.""" tree = DecisionTreeClassifier() ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3) ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator() assert_equal(3, len(ensemble)) assert_equal(3, len(ensemble.estimators_))
def test_base(): """Check BaseEnsemble methods.""" tree = DecisionTreeClassifier() ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3) ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator() assert_equal(3, len(ensemble)) assert_equal(3, len(ensemble.estimators_))
def test_base(): """Check BaseEnsemble methods.""" tree = DecisionTreeClassifier() ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3) ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator(append=False) assert_equal(3, len(ensemble)) assert_equal(3, len(ensemble.estimators_)) assert_true(isinstance(ensemble[0], DecisionTreeClassifier))
def test_base(): """Check BaseEnsemble methods.""" tree = DecisionTreeClassifier() ensemble = BaseEnsemble(base_estimator=tree, n_estimators=3) ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator() ensemble._make_estimator(append=False) assert_equal(3, len(ensemble)) assert_equal(3, len(ensemble.estimators_)) assert_true(isinstance(ensemble[0], DecisionTreeClassifier))