Repository: spark Updated Branches: refs/heads/branch-1.1 3111501ea -> f41c45a75
[SPARK-3372] [MLlib] MLlib doesn't pass maven build / checkstyle due to multi-byte character contained in Gradient.scala Author: Kousuke Saruta <saru...@oss.nttdata.co.jp> Closes #2248 from sarutak/SPARK-3372 and squashes the following commits: 73a28b8 [Kousuke Saruta] Replaced UTF-8 hyphen with ascii hyphen (cherry picked from commit 1bed0a3869a526241381d2a74ba064e5b3721336) Signed-off-by: Xiangrui Meng <m...@databricks.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/f41c45a7 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/f41c45a7 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/f41c45a7 Branch: refs/heads/branch-1.1 Commit: f41c45a75681e47f0840d4a33c1a5a760e9f1daf Parents: 3111501 Author: Kousuke Saruta <saru...@oss.nttdata.co.jp> Authored: Wed Sep 3 20:47:00 2014 -0700 Committer: Xiangrui Meng <m...@databricks.com> Committed: Wed Sep 3 20:47:14 2014 -0700 ---------------------------------------------------------------------- .../scala/org/apache/spark/mllib/optimization/Gradient.scala | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/f41c45a7/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala ---------------------------------------------------------------------- diff --git a/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala index fdd6716..45dbf60 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/optimization/Gradient.scala @@ -128,7 +128,7 @@ class LeastSquaresGradient extends Gradient { class HingeGradient extends Gradient { override def compute(data: Vector, label: Double, weights: Vector): (Vector, Double) = { val dotProduct = dot(data, weights) - // Our loss function with {0, 1} labels is max(0, 1 - (2y â 1) (f_w(x))) + // Our loss function with {0, 1} labels is max(0, 1 - (2y - 1) (f_w(x))) // Therefore the gradient is -(2y - 1)*x val labelScaled = 2 * label - 1.0 if (1.0 > labelScaled * dotProduct) { @@ -146,7 +146,7 @@ class HingeGradient extends Gradient { weights: Vector, cumGradient: Vector): Double = { val dotProduct = dot(data, weights) - // Our loss function with {0, 1} labels is max(0, 1 - (2y â 1) (f_w(x))) + // Our loss function with {0, 1} labels is max(0, 1 - (2y - 1) (f_w(x))) // Therefore the gradient is -(2y - 1)*x val labelScaled = 2 * label - 1.0 if (1.0 > labelScaled * dotProduct) { --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
