TST: test_base in sklearn.ensemble

sklearn/ensemble/tests/test_base.py

@@ -0,0 +1,32 @@
+"""
+Testing for the base module (sklearn.ensemble.base).
+"""
+
+# Authors: Gilles Louppe
+# License: BSD 3 clause
+
+from numpy.testing import assert_equal
+from nose.tools import assert_raises, assert_true
+
+from sklearn.datasets import load_iris
+from sklearn.ensemble import BaggingClassifier
+from sklearn.linear_model import Perceptron
+
+
+def test_base():
+    """Check BaseEnsemble methods."""
+    ensemble = BaggingClassifier(base_estimator=Perceptron(), n_estimators=3)
+
+    iris = load_iris()
+    ensemble.fit(iris.data, iris.target)
+    ensemble.estimators_ = [] # empty the list and create estimators manually
+
+    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], Perceptron))