Add test for invalid value of min_samples

Author: ahojnnes

sklearn/linear_model/tests/test_ransac.py

@@ -210,6 +210,9 @@ def test_ransac_min_n_samples():
                                         residual_threshold=5, random_state=0)
     ransac_estimator6 = RANSACRegressor(base_estimator,
                                         residual_threshold=5, random_state=0)
+    ransac_estimator7 = RANSACRegressor(base_estimator,
+                                        min_samples=X.shape[0] + 1,
+                                        residual_threshold=5, random_state=0)
 
     ransac_estimator1.fit(X, y)
     ransac_estimator2.fit(X, y)
@@ -221,6 +224,7 @@ def test_ransac_min_n_samples():
     assert_equal(ransac_estimator1.predict(X), ransac_estimator6.predict(X))
     assert_raises(ValueError, ransac_estimator3.fit, X, y)
     assert_raises(ValueError, ransac_estimator4.fit, X, y)
+    assert_raises(ValueError, ransac_estimator7.fit, X, y)
 
 
 def test_ransac_multi_dimensional_targets():