Don't normalize just one feature.

analyticsdriven · Dec 12, 2018 · d804b27 · d804b27
1 parent f9e7c43
commit d804b27
Showing 1 changed file with 2 additions and 1 deletion.
diff --git a/homemade/utils/features/normalize.py b/homemade/utils/features/normalize.py
@@ -22,7 +22,8 @@ def normalize(features):
 
     # Subtract mean values from each feature (column) of every example (row)
     # to make all features be spread around zero.
-    features_normalized -= features_mean
+    if features.shape[0] > 1:
+        features_normalized -= features_mean
 
     # Normalize each feature values so that all features are close to [-1:1] boundaries.
     # Also prevent division by zero error.