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[SPARK-4972][MLlib] Updated the scala doc for lasso and ridge regression for the change of LeastSquaresGradient #3808

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[SPARK-4972][MLlib] Updated the scala doc for lasso and ridge regression for the change of LeastSquaresGradient #3808

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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/mllib/regression/Lasso.scala
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Expand Up @@ -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.
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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/mllib/regression/RidgeRegression.scala
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Expand Up @@ -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.
Expand Down