From d3e06284e8b12f86dbff7d41651a45d50c4bf1b5 Mon Sep 17 00:00:00 2001 From: Liang-Chi Hsieh Date: Thu, 11 Dec 2014 16:39:32 +0800 Subject: [PATCH] Make the methods private. --- .../src/main/scala/org/apache/spark/mllib/util/MLUtils.scala | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala b/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala index 90b3fe5a207d7..04ac6121df3c9 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala @@ -267,7 +267,7 @@ object MLUtils { /** * Returns the squared distance between two Vectors. */ - def vectorSquaredDistance(v1: Vector, v2: Vector): Double = { + private[util] def vectorSquaredDistance(v1: Vector, v2: Vector): Double = { var squaredDistance = 0.0 (v1, v2) match { case (v1: SparseVector, v2: SparseVector) => @@ -304,7 +304,7 @@ object MLUtils { /** * Returns the squared distance between DenseVector and SparseVector. */ - def vectorSquaredDistance(v1: SparseVector, v2: DenseVector): Double = { + private[util] def vectorSquaredDistance(v1: SparseVector, v2: DenseVector): Double = { var squaredDistance = 0.0 v1.indices.foreach((idx) => { val score = v1(idx) - v2(idx)