From f735a4376ffcc6bd02ed2f879d79f7e3795b85ad Mon Sep 17 00:00:00 2001 From: Xiangrui Meng Date: Mon, 3 Nov 2014 16:52:39 -0800 Subject: [PATCH] fix seed in BaggedPointSuite --- .../spark/mllib/tree/impl/BaggedPointSuite.scala | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala index c0a62e00432a3..5cb433232e714 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/tree/impl/BaggedPointSuite.scala @@ -30,7 +30,7 @@ class BaggedPointSuite extends FunSuite with LocalSparkContext { test("BaggedPoint RDD: without subsampling") { val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000) val rdd = sc.parallelize(arr) - val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, 1, false) + val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, 1, false, 42) baggedRDD.collect().foreach { baggedPoint => assert(baggedPoint.subsampleWeights.size == 1 && baggedPoint.subsampleWeights(0) == 1) } @@ -44,7 +44,7 @@ class BaggedPointSuite extends FunSuite with LocalSparkContext { val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000) val rdd = sc.parallelize(arr) seeds.foreach { seed => - val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, numSubsamples, true) + val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, numSubsamples, true, seed) val subsampleCounts: Array[Array[Double]] = baggedRDD.map(_.subsampleWeights).collect() EnsembleTestHelper.testRandomArrays(subsampleCounts, numSubsamples, expectedMean, expectedStddev, epsilon = 0.01) @@ -60,7 +60,7 @@ class BaggedPointSuite extends FunSuite with LocalSparkContext { val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000) val rdd = sc.parallelize(arr) seeds.foreach { seed => - val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, subsample, numSubsamples, true) + val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, subsample, numSubsamples, true, seed) val subsampleCounts: Array[Array[Double]] = baggedRDD.map(_.subsampleWeights).collect() EnsembleTestHelper.testRandomArrays(subsampleCounts, numSubsamples, expectedMean, expectedStddev, epsilon = 0.01) @@ -75,7 +75,7 @@ class BaggedPointSuite extends FunSuite with LocalSparkContext { val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000) val rdd = sc.parallelize(arr) seeds.foreach { seed => - val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, numSubsamples, false) + val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, 1.0, numSubsamples, false, seed) val subsampleCounts: Array[Array[Double]] = baggedRDD.map(_.subsampleWeights).collect() EnsembleTestHelper.testRandomArrays(subsampleCounts, numSubsamples, expectedMean, expectedStddev, epsilon = 0.01) @@ -91,7 +91,7 @@ class BaggedPointSuite extends FunSuite with LocalSparkContext { val arr = EnsembleTestHelper.generateOrderedLabeledPoints(1, 1000) val rdd = sc.parallelize(arr) seeds.foreach { seed => - val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, subsample, numSubsamples, false) + val baggedRDD = BaggedPoint.convertToBaggedRDD(rdd, subsample, numSubsamples, false, seed) val subsampleCounts: Array[Array[Double]] = baggedRDD.map(_.subsampleWeights).collect() EnsembleTestHelper.testRandomArrays(subsampleCounts, numSubsamples, expectedMean, expectedStddev, epsilon = 0.01)