diff --git a/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
index f9791c6571..8ecd5c6ad9 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
@@ -45,7 +45,7 @@ class LassoModel (
 /**
  * Train a regression model with L1-regularization using Stochastic Gradient Descent.
  * This solves the l1-regularized least squares regression formulation
- *          f(weights) = 1/n ||A weights-y||^2  + regParam ||weights||_1
+ *          f(weights) = 1/2n ||A weights-y||^2  + regParam ||weights||_1
  * Here the data matrix has n rows, and the input RDD holds the set of rows of A, each with
  * its corresponding right hand side label y.
  * See also the documentation for the precise formulation.
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
index c8cad773f5..076ba35051 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
@@ -45,7 +45,7 @@ class RidgeRegressionModel (
 /**
  * Train a regression model with L2-regularization using Stochastic Gradient Descent.
  * This solves the l1-regularized least squares regression formulation
- *          f(weights) = 1/n ||A weights-y||^2  + regParam/2 ||weights||^2
+ *          f(weights) = 1/2n ||A weights-y||^2  + regParam/2 ||weights||^2
  * Here the data matrix has n rows, and the input RDD holds the set of rows of A, each with
  * its corresponding right hand side label y.
  * See also the documentation for the precise formulation.