FIX problem with extra dimension that makes linear interpolation failing (#247)

* FIX problem with extra dimension that makes linear interpolation failing

Author: giovastabile

ezyrb/linear.py

@@ -55,4 +55,4 @@ def predict(self, new_point):
         :return: the interpolated values.
         :rtype: numpy.ndarray
         """
-        return self.interpolator(new_point)
+        return self.interpolator(new_point).squeeze()

tests/test_linear.py

@@ -4,7 +4,7 @@
 from unittest import TestCase
 from ezyrb import Linear, Database, POD, ReducedOrderModel
 
-class TestKNeighbors(TestCase):
+class TestLinear(TestCase):
     def test_params(self):
         reg = Linear(fill_value=0)
         assert reg.fill_value == 0
@@ -52,6 +52,13 @@ def test_with_db_predict(self):
         assert rom.predict([2]) == 5
         assert rom.predict([3]) == 3
 
+        Y = np.random.uniform(size=(3, 3))
+        db = Database(np.array([1, 2, 3]), Y)
+        rom = ReducedOrderModel(db, POD(), Linear())
+        rom.fit()
+        assert rom.predict([1.]).shape == (3,)
+
+
     def test_wrong1(self):
         # wrong number of params
         with warnings.catch_warnings():