diff options
| author | Xiangrui Meng <meng@databricks.com> | 2015-03-12 01:39:04 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-03-12 01:39:04 -0700 |
| commit | 0cba802adf15f5ab8da24dd1e8a5e7214cc4e148 (patch) | |
| tree | a5dc95dc4f0fbf156cacffc6af130666711b3f98 /mllib/src/test | |
| parent | 712679a7b447346a365b38574d7a86d56a93f767 (diff) | |
| download | spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.tar.gz spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.tar.bz2 spark-0cba802adf15f5ab8da24dd1e8a5e7214cc4e148.zip | |
[SPARK-5814][MLLIB][GRAPHX] Remove JBLAS from runtime
The issue is discussed in https://issues.apache.org/jira/browse/SPARK-5669. Replacing all JBLAS usage by netlib-java gives us a simpler dependency tree and less license issues to worry about. I didn't touch the test scope in this PR. The user guide is not modified to avoid merge conflicts with branch-1.3. srowen ankurdave pwendell
Author: Xiangrui Meng <meng@databricks.com>
Closes #4699 from mengxr/SPARK-5814 and squashes the following commits:
48635c6 [Xiangrui Meng] move netlib-java version to parent pom
ca21c74 [Xiangrui Meng] remove jblas from ml-guide
5f7767a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5814
c5c4183 [Xiangrui Meng] merge master
0f20cad [Xiangrui Meng] add mima excludes
e53e9f4 [Xiangrui Meng] remove jblas from mllib runtime
ceaa14d [Xiangrui Meng] replace jblas by netlib-java in graphx
fa7c2ca [Xiangrui Meng] move jblas to test scope
Diffstat (limited to 'mllib/src/test')
| -rw-r--r-- | mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala | 6 | ||||
| -rw-r--r-- | mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala | 4 |
2 files changed, 5 insertions, 5 deletions
diff --git a/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala index 82c327bd49..22855e4e8f 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/optimization/NNLSSuite.scala @@ -55,7 +55,7 @@ class NNLSSuite extends FunSuite { for (k <- 0 until 100) { val (ata, atb) = genOnesData(n, rand) - val x = new DoubleMatrix(NNLS.solve(ata, atb, ws)) + val x = new DoubleMatrix(NNLS.solve(ata.data, atb.data, ws)) assert(x.length === n) val answer = DoubleMatrix.ones(n, 1) SimpleBlas.axpy(-1.0, answer, x) @@ -79,7 +79,7 @@ class NNLSSuite extends FunSuite { val goodx = Array(0.13025, 0.54506, 0.2874, 0.0, 0.028628) val ws = NNLS.createWorkspace(n) - val x = NNLS.solve(ata, atb, ws) + val x = NNLS.solve(ata.data, atb.data, ws) for (i <- 0 until n) { assert(x(i) ~== goodx(i) absTol 1E-3) assert(x(i) >= 0) @@ -104,7 +104,7 @@ class NNLSSuite extends FunSuite { val ws = NNLS.createWorkspace(n) - val x = new DoubleMatrix(NNLS.solve(ata, atb, ws)) + val x = new DoubleMatrix(NNLS.solve(ata.data, atb.data, ws)) val obj = computeObjectiveValue(ata, atb, x) assert(obj < refObj + 1E-5) diff --git a/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala b/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala index f6a1e19f50..16ecae23dd 100644 --- a/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala +++ b/mllib/src/test/scala/org/apache/spark/mllib/stat/KernelDensitySuite.scala @@ -21,9 +21,9 @@ import org.scalatest.FunSuite import org.apache.commons.math3.distribution.NormalDistribution -import org.apache.spark.mllib.util.LocalClusterSparkContext +import org.apache.spark.mllib.util.MLlibTestSparkContext -class KernelDensitySuite extends FunSuite with LocalClusterSparkContext { +class KernelDensitySuite extends FunSuite with MLlibTestSparkContext { test("kernel density single sample") { val rdd = sc.parallelize(Array(5.0)) val evaluationPoints = Array(5.0, 6.0) |