diff --git a/src/learn/learn.h b/src/learn/learn.h
index da542d67..d2477277 100644
--- a/src/learn/learn.h
+++ b/src/learn/learn.h
@@ -9,9 +9,6 @@
 // Select the objective function
 // ----------------------
 
-// A version in which the objective function is cross entropy, but the win rate function is not passed
-// #define LOSS_FUNCTION_IS_CROSS_ENTOROPY_FOR_VALUE
-
 // elmo (WCSC27) method
 // #define LOSS_FUNCTION_IS_ELMO_METHOD
 
@@ -116,9 +113,7 @@ typedef float LearnFloatType;
 
 #define LOSS_FUNCTION_IS_ELMO_METHOD
 
-#if defined(LOSS_FUNCTION_IS_CROSS_ENTOROPY_FOR_VALUE)
-#define LOSS_FUNCTION "CROSS_ENTOROPY_FOR_VALUE"
-#elif defined(LOSS_FUNCTION_IS_ELMO_METHOD)
+#if defined(LOSS_FUNCTION_IS_ELMO_METHOD)
 #define LOSS_FUNCTION "ELMO_METHOD(WCSC27)"
 #endif
 
diff --git a/src/learn/learner.cpp b/src/learn/learner.cpp
index 66835ce5..82bcfa09 100644
--- a/src/learn/learner.cpp
+++ b/src/learn/learner.cpp
@@ -163,17 +163,6 @@ namespace Learner
         return ((y2 - y1) / epsilon) / winning_probability_coefficient;
     }
 
-#if defined ( LOSS_FUNCTION_IS_CROSS_ENTOROPY_FOR_VALUE )
-    double calc_grad(Value deep, Value shallow, const PackedSfenValue& psv)
-    {
-        // Version that does not pass the winning percentage function
-        // This, unless EVAL_LIMIT is set low, trying to 
-        // match the evaluation value with the shape of the end stage
-        // eval may exceed the range of eval.
-        return shallow - deep;
-    }
-#endif
-
 #if defined ( LOSS_FUNCTION_IS_ELMO_METHOD )
 
     // A constant used in elmo (WCSC27). Adjustment required.