Github user yanboliang commented on a diff in the pull request:
    --- Diff: 
    @@ -60,24 +60,87 @@ class WeightedLeastSquaresSuite extends SparkFunSuite 
with MLlibTestSparkContext
         ), 2)
    -  test("two collinear features result in error with no regularization") {
    +  test("WLS with strong L1 regularization") {
    +    /*
    +      We initialize the coefficients for WLS QN solver to be weighted 
average of the label. Check
    +      here that with only an intercept the model converges to bBar.
    +     */
    +    val bAgg = instances.collect().foldLeft((0.0, 0.0)) { case ((sum, 
count), Instance(l, w, f)) =>
    --- End diff --
    ```count``` -> ```weightSum```

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