Repository: spark
Updated Branches:
  refs/heads/master 5553198fe -> ba49eb162


Some code clean up.

Author: DB Tsai <[email protected]>

Closes #5794 from dbtsai/clean and squashes the following commits:

ad639dd [DB Tsai] Indentation
834d527 [DB Tsai] Some code clean up.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/ba49eb16
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/ba49eb16
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/ba49eb16

Branch: refs/heads/master
Commit: ba49eb1625b1190d8aaf2c55dc1f6309ac3e080c
Parents: 5553198
Author: DB Tsai <[email protected]>
Authored: Wed Apr 29 21:44:41 2015 -0700
Committer: Reynold Xin <[email protected]>
Committed: Wed Apr 29 21:44:41 2015 -0700

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 .../spark/mllib/util/LinearDataGenerator.scala     | 17 ++++++++---------
 1 file changed, 8 insertions(+), 9 deletions(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/ba49eb16/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
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diff --git 
a/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala 
b/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
index 91c2f4c..b1a4517 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/util/LinearDataGenerator.scala
@@ -75,8 +75,8 @@ object LinearDataGenerator {
       seed: Int,
       eps: Double = 0.1): Seq[LabeledPoint] = {
     generateLinearInput(intercept, weights,
-      Array.fill[Double](weights.size)(0.0),
-      Array.fill[Double](weights.size)(1.0 / 3.0),
+      Array.fill[Double](weights.length)(0.0),
+      Array.fill[Double](weights.length)(1.0 / 3.0),
       nPoints, seed, eps)}
 
   /**
@@ -105,13 +105,12 @@ object LinearDataGenerator {
     val x = Array.fill[Array[Double]](nPoints)(
       Array.fill[Double](weights.length)(rnd.nextDouble()))
 
-    x.foreach {
-      case v =>
-        var i = 0
-        while (i < v.length) {
-          v(i) = (v(i) - 0.5) * math.sqrt(12.0 * xVariance(i)) + xMean(i)
-          i += 1
-        }
+    x.foreach { v =>
+      var i = 0
+      while (i < v.length) {
+        v(i) = (v(i) - 0.5) * math.sqrt(12.0 * xVariance(i)) + xMean(i)
+        i += 1
+      }
     }
 
     val y = x.map { xi =>


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