[Predator] Move ``SingleFeatureScore`` to LLM.

appengine/findit/crash/loglinear/test/model_test.py

Index: appengine/findit/crash/loglinear/test/model_test.py
diff --git a/appengine/findit/crash/loglinear/test/model_test.py b/appengine/findit/crash/loglinear/test/model_test.py
index 17d8e6e4b85a3b0a2cf9bb9e235042f119b6f750..408986c6a08a01c2179600efa31106f066ae2c3a 100644
--- a/appengine/findit/crash/loglinear/test/model_test.py
+++ b/appengine/findit/crash/loglinear/test/model_test.py
@@ -7,9 +7,24 @@ import numpy as np
 
 from crash.loglinear.model import ToFeatureFunction
 from crash.loglinear.model import LogLinearModel
+from crash.loglinear.model import UnnormalizedLogLinearModel
 from crash.loglinear.test.loglinear_testcase import LoglinearTestCase
 
 
+class UnnormalizedLogLinearModelTest(LoglinearTestCase):
+
+  def testSingleFeatureScore(self):
+    """Test that ``SingleFeatureScore`` returns weighted feature score."""
+    model = UnnormalizedLogLinearModel(self._feature_function, self._weights,
+                                       self._feature_to_weight, 0.1)
+    for feature in self._feature_list:
+      feature_value = feature(5)(True)
+      self.assertEqual(
+          model.SingleFeatureScore(feature_value),
+          feature_value.value * self._feature_to_weight.get(feature_value.name,
+                                                            0.))
+
+
 class LoglinearTest(LoglinearTestCase):
 
   def testToFeatureFunction(self):
@@ -34,9 +49,11 @@ class LoglinearTest(LoglinearTestCase):
     guard against. At least this test is good for detecting typo-style
     errors where we try accessing fields/methods that don't exist.
     """
-    model = LogLinearModel(self._Y, self._feature_function, self._weights, 0.1)
+    model = LogLinearModel(self._Y, self._feature_function, self._weights,
+                           self._feature_to_weight, 0.1)
     model.ClearAllMemos()
-    model = LogLinearModel(self._Y, self._feature_function, self._weights)
+    model = LogLinearModel(self._Y, self._feature_function, self._weights,
+                           self._feature_to_weight)
     self.assertListEqual(self._weights, model.weights.tolist())
     self.assertEqual(math.sqrt(model.quadrance), model.l2)