From fc11c509e234c5414687f7fbd13af113a1f52f10 Mon Sep 17 00:00:00 2001 From: WeichenXu Date: Tue, 12 Jul 2016 09:23:59 +0100 Subject: [MINOR][ML] update comment where is inconsistent with code in ml.regression.LinearRegression ## What changes were proposed in this pull request? In `train` method of `ml.regression.LinearRegression` when handling situation `std(label) == 0` the code replace `std(label)` with `mean(label)` but the relative comment is inconsistent, I update it. ## How was this patch tested? N/A Author: WeichenXu Closes #14121 from WeichenXu123/update_lr_comment. --- .../main/scala/org/apache/spark/ml/regression/LinearRegression.scala | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'mllib') 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 0a4d98cab6..0477f71f32 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 @@ -263,7 +263,7 @@ class LinearRegression @Since("1.3.0") (@Since("1.3.0") override val uid: String } // if y is constant (rawYStd is zero), then y cannot be scaled. In this case - // setting yStd=1.0 ensures that y is not scaled anymore in l-bfgs algorithm. + // setting yStd=abs(yMean) ensures that y is not scaled anymore in l-bfgs algorithm. val yStd = if (rawYStd > 0) rawYStd else math.abs(yMean) val featuresMean = featuresSummarizer.mean.toArray val featuresStd = featuresSummarizer.variance.toArray.map(math.sqrt) -- cgit v1.2.3