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-rw-r--r--mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala4
1 files changed, 2 insertions, 2 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
index 966811a5a3..b1014ab7c6 100644
--- a/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
+++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
@@ -119,7 +119,7 @@ object LogisticRegressionSuite {
}
// Preventing the overflow when we compute the probability
val maxMargin = margins.max
- if (maxMargin > 0) for (i <-0 until nClasses) margins(i) -= maxMargin
+ if (maxMargin > 0) for (i <- 0 until nClasses) margins(i) -= maxMargin
// Computing the probabilities for each class from the margins.
val norm = {
@@ -130,7 +130,7 @@ object LogisticRegressionSuite {
}
temp
}
- for (i <-0 until nClasses) probs(i) /= norm
+ for (i <- 0 until nClasses) probs(i) /= norm
// Compute the cumulative probability so we can generate a random number and assign a label.
for (i <- 1 until nClasses) probs(i) += probs(i - 1)