Repository: spark
Updated Branches:
  refs/heads/master 3188553f7 -> 0c19bb161


Update GradientDescentSuite.scala

use more faster way to construct an array

Author: baishuo(白硕) <[email protected]>

Closes #588 from baishuo/master and squashes the following commits:

45b95fb [baishuo(白硕)] Update GradientDescentSuite.scala
c03b61c [baishuo(白硕)] Update GradientDescentSuite.scala
b666d27 [baishuo(白硕)] Update GradientDescentSuite.scala


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/0c19bb16
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/0c19bb16
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/0c19bb16

Branch: refs/heads/master
Commit: 0c19bb161b9b2b96c0c55d3ea09e81fd798cbec0
Parents: 3188553
Author: baishuo(白硕) <[email protected]>
Authored: Wed May 7 16:02:55 2014 -0700
Committer: Patrick Wendell <[email protected]>
Committed: Wed May 7 16:02:55 2014 -0700

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 .../apache/spark/mllib/optimization/GradientDescentSuite.scala | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/0c19bb16/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
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diff --git 
a/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
 
b/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
index c4b4334..8a16284 100644
--- 
a/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
+++ 
b/mllib/src/test/scala/org/apache/spark/mllib/optimization/GradientDescentSuite.scala
@@ -81,11 +81,11 @@ class GradientDescentSuite extends FunSuite with 
LocalSparkContext with ShouldMa
     // Add a 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)
     }
 
     val dataRDD = sc.parallelize(data, 2).cache()
-    val initialWeightsWithIntercept = Vectors.dense(1.0, initialWeights: _*)
+    val initialWeightsWithIntercept = Vectors.dense(1.0 +: 
initialWeights.toArray)
 
     val (_, loss) = GradientDescent.runMiniBatchSGD(
       dataRDD,
@@ -111,7 +111,7 @@ class GradientDescentSuite extends FunSuite with 
LocalSparkContext with ShouldMa
     // Add a extra variable consisting of all 1.0's for the intercept.
     val testData = GradientDescentSuite.generateGDInput(2.0, -1.5, 10000, 42)
     val data = testData.map { case LabeledPoint(label, features) =>
-      label -> Vectors.dense(1.0, features.toArray: _*)
+      label -> Vectors.dense(1.0 +: features.toArray)
     }
 
     val dataRDD = sc.parallelize(data, 2).cache()

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