scala doc

Author: DB Tsai

mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala

@@ -103,7 +103,7 @@ class LogisticRegression(override val uid: String)
    * The coefficients of models will be always returned on the original scale,
    * so it will be transparent for users. Note that with/without standardization,
    * the models should be always converged to the same solution when no regularization
-   * is applied.
+   * is applied. In R's GLMNET package, the default behavior is true as well.
    * Default is true.
    * @group setParam
    * */

mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala

@@ -89,7 +89,7 @@ class LinearRegression(override val uid: String)
    * The coefficients of models will be always returned on the original scale,
    * so it will be transparent for users. Note that with/without standardization,
    * the models should be always converged to the same solution when no regularization
-   * is applied.
+   * is applied. In R's GLMNET package, the default behavior is true as well.
    * Default is true.
    * @group setParam
    */