aboutsummaryrefslogtreecommitdiff
path: root/mllib
diff options
context:
space:
mode:
Diffstat (limited to 'mllib')
-rw-r--r--mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala4
1 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
index 6af1b502eb..820eca9b1b 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/optimization/LBFGSSuite.scala
@@ -43,7 +43,7 @@ class LBFGSSuite extends FunSuite with LocalSparkContext with ShouldMatchers {
// Add an extra variable consisting of all 1.0's for the intercept.
val testData = GradientDescentSuite.generateGDInput(A, B, nPoints, 42)
val data = testData.map { case LabeledPoint(label, features) =>
- label -> Vectors.dense(1.0, features.toArray: _*)
+ label -> Vectors.dense(1.0 +: features.toArray)
}
lazy val dataRDD = sc.parallelize(data, 2).cache()
@@ -55,7 +55,7 @@ class LBFGSSuite extends FunSuite with LocalSparkContext with ShouldMatchers {
test("LBFGS loss should be decreasing and match the result of Gradient Descent.") {
val regParam = 0
- val initialWeightsWithIntercept = Vectors.dense(1.0, initialWeights: _*)
+ val initialWeightsWithIntercept = Vectors.dense(1.0 +: initialWeights.toArray)
val convergenceTol = 1e-12
val maxNumIterations = 10