getting hypothetical scores instead of scores

kundajelab · Oct 14, 2018 · 2348bc8 · 2348bc8
1 parent 4ac3ba6
commit 2348bc8
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/deepexplain/tensorflow/methods.py b/deepexplain/tensorflow/methods.py
@@ -269,7 +269,7 @@ def __init__(self, T, X, xs, session, keras_learning_phase, baseline=None):
         self.baseline = baseline
 
     def get_symbolic_attribution(self):
-        return [g * (x - b) for g, x, b in zip(
+        return [g for g, x, b in zip(
             tf.gradients(self.T, self.X),
             self.X if self.has_multiple_inputs else [self.X],
             self.baseline if self.has_multiple_inputs else [self.baseline])]