Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/17862#discussion_r115431940
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/classification/LinearSVCSuite.scala ---
@@ -223,6 +229,25 @@ class LinearSVCSuite extends SparkFunSuite with
MLlibTestSparkContext with Defau
assert(model1.coefficients ~== coefficientsSK relTol 4E-3)
}
+ test("linearSVC L-BFGS comparison with R e1071 and scikit-learn") {
+ val trainer1 = new LinearSVC().setSolver(LinearSVC.LBFGS)
+ .setRegParam(0.00003)
--- End diff --
Why we switch to different ```regParam``` compared with the above test?
Does it means the converged solution will depends on optimizer?
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