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| author | Xinghao <pxinghao@gmail.com> | 2013-07-29 09:22:49 -0700 |
|---|---|---|
| committer | Xinghao <pxinghao@gmail.com> | 2013-07-29 09:22:49 -0700 |
| commit | 2b2630ba3c621f4121da8e76fe6fcfa69d3eb74c (patch) | |
| tree | d1baa564499e5bc83dd0899f247b5dc0dfd74d3a /mllib/src | |
| parent | 07f17439a52b65d4f5ef8c8d80bc25dadc0182a8 (diff) | |
| download | spark-2b2630ba3c621f4121da8e76fe6fcfa69d3eb74c.tar.gz spark-2b2630ba3c621f4121da8e76fe6fcfa69d3eb74c.tar.bz2 spark-2b2630ba3c621f4121da8e76fe6fcfa69d3eb74c.zip | |
Style fix
Lines shortened to < 100 characters
Diffstat (limited to 'mllib/src')
| -rw-r--r-- | mllib/src/main/scala/spark/mllib/util/LassoDataGenerator.scala | 3 | ||||
| -rw-r--r-- | mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala | 3 |
2 files changed, 4 insertions, 2 deletions
diff --git a/mllib/src/main/scala/spark/mllib/util/LassoDataGenerator.scala b/mllib/src/main/scala/spark/mllib/util/LassoDataGenerator.scala index 1ff32d2e7f..ef4f42a494 100644 --- a/mllib/src/main/scala/spark/mllib/util/LassoDataGenerator.scala +++ b/mllib/src/main/scala/spark/mllib/util/LassoDataGenerator.scala @@ -26,7 +26,8 @@ object LassoGenerator { val sc = new SparkContext(sparkMaster, "LassoGenerator") val globalRnd = new Random(94720) - val trueWeights = new DoubleMatrix(1, nfeatures+1, Array.fill[Double](nfeatures + 1) { globalRnd.nextGaussian() }:_*) + val trueWeights = new DoubleMatrix(1, nfeatures+1, + Array.fill[Double](nfeatures + 1) { globalRnd.nextGaussian() }:_*) val data: RDD[(Double, Array[Double])] = sc.parallelize(0 until nexamples, parts).map { idx => val rnd = new Random(42 + idx) diff --git a/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala b/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala index ced52093f5..00a54d9a70 100644 --- a/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala +++ b/mllib/src/main/scala/spark/mllib/util/SVMDataGenerator.scala @@ -29,7 +29,8 @@ object SVMGenerator { val sc = new SparkContext(sparkMaster, "SVMGenerator") val globalRnd = new Random(94720) - val trueWeights = new DoubleMatrix(1, nfeatures+1, Array.fill[Double](nfeatures + 1) { globalRnd.nextGaussian() }:_*) + val trueWeights = new DoubleMatrix(1, nfeatures+1, + Array.fill[Double](nfeatures + 1) { globalRnd.nextGaussian() }:_*) val data: RDD[(Double, Array[Double])] = sc.parallelize(0 until nexamples, parts).map { idx => val rnd = new Random(42 + idx) |