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| author | Frank Dai <soulmachine@gmail.com> | 2014-01-14 14:59:01 +0800 |
|---|---|---|
| committer | Frank Dai <soulmachine@gmail.com> | 2014-01-14 14:59:01 +0800 |
| commit | c2852cf42e0fa851b6708b6886b0d78ac5b697a6 (patch) | |
| tree | a59e6032d1724fc7b42db89bc4a1bda7740bfe44 /mllib | |
| parent | 12386b3eea5db7be002b4ba620f3e242bb8ef332 (diff) | |
| download | spark-c2852cf42e0fa851b6708b6886b0d78ac5b697a6.tar.gz spark-c2852cf42e0fa851b6708b6886b0d78ac5b697a6.tar.bz2 spark-c2852cf42e0fa851b6708b6886b0d78ac5b697a6.zip | |
Indent two spaces
Diffstat (limited to 'mllib')
4 files changed, 6 insertions, 6 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 f97eaf39c7..02ede71137 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 @@ -81,7 +81,7 @@ class LogisticRegressionSuite extends FunSuite with BeforeAndAfterAll with Shoul def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) { val numOffPredictions = predictions.zip(input).count { case (prediction, expected) => - prediction != expected.label + prediction != expected.label } // At least 83% of the predictions should be on. ((input.length - numOffPredictions).toDouble / input.length) should be > 0.83 diff --git a/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala index 0f24fbb39f..3357b86f9b 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala @@ -72,7 +72,7 @@ class SVMSuite extends FunSuite with BeforeAndAfterAll { def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) { val numOffPredictions = predictions.zip(input).count { case (prediction, expected) => - prediction != expected.label + prediction != expected.label } // At least 80% of the predictions should be on. assert(numOffPredictions < input.length / 5) diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala index 0a6a9f7a62..b2c8df97a8 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LassoSuite.scala @@ -40,8 +40,8 @@ class LassoSuite extends FunSuite with BeforeAndAfterAll { def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) { val numOffPredictions = predictions.zip(input).count { case (prediction, expected) => - // A prediction is off if the prediction is more than 0.5 away from expected value. - math.abs(prediction - expected.label) > 0.5 + // A prediction is off if the prediction is more than 0.5 away from expected value. + math.abs(prediction - expected.label) > 0.5 } // At least 80% of the predictions should be on. assert(numOffPredictions < input.length / 5) diff --git a/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala index dd5aa8516f..406afbaa3e 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/regression/LinearRegressionSuite.scala @@ -37,8 +37,8 @@ class LinearRegressionSuite extends FunSuite with BeforeAndAfterAll { def validatePrediction(predictions: Seq[Double], input: Seq[LabeledPoint]) { val numOffPredictions = predictions.zip(input).count { case (prediction, expected) => - // A prediction is off if the prediction is more than 0.5 away from expected value. - math.abs(prediction - expected.label) > 0.5 + // A prediction is off if the prediction is more than 0.5 away from expected value. + math.abs(prediction - expected.label) > 0.5 } // At least 80% of the predictions should be on. assert(numOffPredictions < input.length / 5) |