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[MLLIB] SPARK-4347: Reducing GradientBoostingSuite run time. #3214

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[MLLIB] SPARK-4347: Reducing GradientBoostingSuite run time. #3214

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10 changes: 5 additions & 5 deletions mllib/src/test/scala/org/apache/spark/mllib/tree/GradientBoostingSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ class GradientBoostingSuite extends FunSuite with LocalSparkContext {
test("Regression with continuous features: SquaredError") {
GradientBoostingSuite.testCombinations.foreach {
case (numIterations, learningRate, subsamplingRate) =>
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 50, 1000)
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 10, 100)
val rdd = sc.parallelize(arr)
val categoricalFeaturesInfo = Map.empty[Int, Int]

Expand All @@ -53,7 +53,7 @@ class GradientBoostingSuite extends FunSuite with LocalSparkContext {
assert(gbt.weakHypotheses.size === numIterations)
val gbtTree = gbt.weakHypotheses(0)

EnsembleTestHelper.validateRegressor(gbt, arr, 0.02)
EnsembleTestHelper.validateRegressor(gbt, arr, 0.03)

// Make sure trees are the same.
assert(gbtTree.toString == dt.toString)
Expand All @@ -63,7 +63,7 @@ class GradientBoostingSuite extends FunSuite with LocalSparkContext {
test("Regression with continuous features: Absolute Error") {
GradientBoostingSuite.testCombinations.foreach {
case (numIterations, learningRate, subsamplingRate) =>
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 50, 1000)
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 10, 100)
val rdd = sc.parallelize(arr)
val categoricalFeaturesInfo = Map.empty[Int, Int]

Expand All @@ -81,7 +81,7 @@ class GradientBoostingSuite extends FunSuite with LocalSparkContext {
assert(gbt.weakHypotheses.size === numIterations)
val gbtTree = gbt.weakHypotheses(0)

EnsembleTestHelper.validateRegressor(gbt, arr, 0.02)
EnsembleTestHelper.validateRegressor(gbt, arr, 0.03)

// Make sure trees are the same.
assert(gbtTree.toString == dt.toString)
Expand All @@ -91,7 +91,7 @@ class GradientBoostingSuite extends FunSuite with LocalSparkContext {
test("Binary classification with continuous features: Log Loss") {
GradientBoostingSuite.testCombinations.foreach {
case (numIterations, learningRate, subsamplingRate) =>
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 50, 1000)
val arr = EnsembleTestHelper.generateOrderedLabeledPoints(numFeatures = 10, 100)
val rdd = sc.parallelize(arr)
val categoricalFeaturesInfo = Map.empty[Int, Int]

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