diff --git a/src/mlpack/methods/cf/normalization/overall_mean_normalization.hpp b/src/mlpack/methods/cf/normalization/overall_mean_normalization.hpp
index 2b09af435c..dd6e7f4b2c 100644
--- a/src/mlpack/methods/cf/normalization/overall_mean_normalization.hpp
+++ b/src/mlpack/methods/cf/normalization/overall_mean_normalization.hpp
@@ -38,7 +38,10 @@ class OverallMeanNormalization
     data.row(2) -= mean;
     // The algorithm omits rating of zero. If normalized rating equals zero,
     // it is set to the smallest positive double value.
-    data.row(2).replace(0, std::numeric_limits<double>::min());
+    data.row(2).for_each([](double& x) {
+      if (x == 0)
+        x = std::numeric_limits<double>::min();
+    });
   }
 
   /**
diff --git a/src/mlpack/methods/cf/normalization/z_score_normalization.hpp b/src/mlpack/methods/cf/normalization/z_score_normalization.hpp
index 977505787c..5875dc78dc 100644
--- a/src/mlpack/methods/cf/normalization/z_score_normalization.hpp
+++ b/src/mlpack/methods/cf/normalization/z_score_normalization.hpp
@@ -46,7 +46,10 @@ class ZScoreNormalization
     data.row(2) = (data.row(2) - mean) / stddev;
     // The algorithm omits rating of zero. If normalized rating equals zero,
     // it is set to the smallest positive double value.
-    data.row(2).replace(0, std::numeric_limits<double>::min());
+    data.row(2).for_each([](double& x) {
+      if (x == 0)
+        x = std::numeric_limits<double>::min();
+    });
   }
 
   /**