diff --git a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
index 3be8b533ee3f3..ac1462bff8c7e 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
@@ -1129,7 +1129,8 @@ class GeneralizedLinearRegressionSummary private[regression] (
   private[regression] lazy val link: Link = familyLink.link
 
   /** Number of instances in DataFrame predictions. */
-  private[regression] lazy val numInstances: Long = predictions.count()
+  @Since("2.2.0")
+  lazy val numInstances: Long = predictions.count()
 
   /** The numeric rank of the fitted linear model. */
   @Since("2.0.0")
diff --git a/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala b/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
index 45df1d9be647d..f7e3c8fa5b6e6 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
@@ -696,7 +696,8 @@ class LinearRegressionSummary private[regression] (
   lazy val numInstances: Long = predictions.count()
 
   /** Degrees of freedom */
-  private val degreesOfFreedom: Long = if (privateModel.getFitIntercept) {
+  @Since("2.2.0")
+  val degreesOfFreedom: Long = if (privateModel.getFitIntercept) {
     numInstances - privateModel.coefficients.size - 1
   } else {
     numInstances - privateModel.coefficients.size