[MINOR] Cleanup flaky l2svm application test (inconsistent tolerance)

Project: http://git-wip-us.apache.org/repos/asf/systemml/repo
Commit: http://git-wip-us.apache.org/repos/asf/systemml/commit/159522a1
Tree: http://git-wip-us.apache.org/repos/asf/systemml/tree/159522a1
Diff: http://git-wip-us.apache.org/repos/asf/systemml/diff/159522a1

Branch: refs/heads/master
Commit: 159522a1f08869c034ae6544be749e2695ab997a
Parents: 93506b2
Author: Matthias Boehm <mboe...@gmail.com>
Authored: Sun Apr 8 12:50:36 2018 -0700
Committer: Matthias Boehm <mboe...@gmail.com>
Committed: Sun Apr 8 12:50:36 2018 -0700

----------------------------------------------------------------------
 .../integration/applications/L2SVMTest.java     | 71 +++++++++-----------
 1 file changed, 33 insertions(+), 38 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/systemml/blob/159522a1/src/test/java/org/apache/sysml/test/integration/applications/L2SVMTest.java
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diff --git 
a/src/test/java/org/apache/sysml/test/integration/applications/L2SVMTest.java 
b/src/test/java/org/apache/sysml/test/integration/applications/L2SVMTest.java
index 35afb7b..eae542c 100644
--- 
a/src/test/java/org/apache/sysml/test/integration/applications/L2SVMTest.java
+++ 
b/src/test/java/org/apache/sysml/test/integration/applications/L2SVMTest.java
@@ -33,7 +33,6 @@ import org.apache.sysml.test.utils.TestUtils;
 
 public abstract class L2SVMTest extends AutomatedTestBase 
 {
-       
        protected final static String TEST_DIR = "applications/l2svm/";
        protected final static String TEST_NAME = "L2SVM";
        protected String TEST_CLASS_DIR = TEST_DIR + 
L2SVMTest.class.getSimpleName() + "/";
@@ -41,7 +40,7 @@ public abstract class L2SVMTest extends AutomatedTestBase
        protected int numRecords, numFeatures;
        protected double sparsity;
        protected boolean intercept;
-    
+
        public L2SVMTest(int rows, int cols, double sp, boolean intercept) {
                numRecords = rows;
                numFeatures = cols;
@@ -50,35 +49,34 @@ public abstract class L2SVMTest extends AutomatedTestBase
        }
        
        @Parameters
-        public static Collection<Object[]> data() {
-          Object[][] data = new Object[][] { 
-                          //sparse tests (sparsity=0.01)
-                          {100, 50, 0.01, false}, {1000, 500, 0.01, false}, 
{10000, 750, 0.01, false}, {10000, 750, 0.01, true}, {100000, 1000, 0.01, 
false},
-                          //dense tests (sparsity=0.7)
-                          {100, 50, 0.7, false}, {1000, 500, 0.7, false}, 
{1000, 500, 0.7, true}, {10000, 750, 0.7, false} };
-          return Arrays.asList(data);
-        }
+       public static Collection<Object[]> data() {
+               return Arrays.asList(new Object[][] {
+                       //sparse tests (sparsity=0.01)
+                       {100, 50, 0.01, false}, {1000, 500, 0.01, false}, 
{10000, 750, 0.01, false}, {10000, 750, 0.01, true}, {100000, 1000, 0.01, 
false},
+                       //dense tests (sparsity=0.7)
+                       {100, 50, 0.7, false}, {1000, 500, 0.7, false}, {1000, 
500, 0.7, true}, {10000, 750, 0.7, false} });
+       }
        
        @Override
        public void setUp() {
-       addTestConfiguration(TEST_CLASS_DIR, TEST_NAME);
+               addTestConfiguration(TEST_CLASS_DIR, TEST_NAME);
        }
        
        protected void testL2SVM(ScriptType scriptType)
        {
-               System.out.println("------------ BEGIN " + TEST_NAME + " " + 
scriptType + " TEST WITH {" + numRecords + ", " + numFeatures
-                               + ", " + sparsity + ", " + intercept + "} 
------------");
+               System.out.println("------------ BEGIN " + TEST_NAME + " " + 
scriptType 
+                       + " TEST WITH {" + numRecords + ", " + numFeatures
+                       + ", " + sparsity + ", " + intercept + "} 
------------");
                this.scriptType = scriptType;
-       
                int rows = numRecords;
-        int cols = numFeatures;
-        double epsilon = 1.0e-8;
-        double lambda = 1.0;
-        int maxiterations = 3;
-        int maxNumberOfMRJobs = 21;
-        
-        getAndLoadTestConfiguration(TEST_NAME);
-        
+               int cols = numFeatures;
+               double epsilon = 1e-10;
+               double lambda = 1.0;
+               int maxiterations = 3;
+               int maxNumberOfMRJobs = 21;
+
+               getAndLoadTestConfiguration(TEST_NAME);
+
                List<String> proArgs = new ArrayList<String>();
                if (scriptType == ScriptType.PYDML) {
                        proArgs.add("-python");
@@ -94,26 +92,23 @@ public abstract class L2SVMTest extends AutomatedTestBase
                proArgs.add("model=" + output("w"));
                proArgs.add("Log=" + output("Log"));
                programArgs = proArgs.toArray(new String[proArgs.size()]);
-               
                fullDMLScriptName = getScript();
-               
                rCmd = getRCmd(inputDir(), (intercept ? Integer.toString(1) : 
Integer.toString(0)), Double.toString(epsilon), 
                                Double.toString(lambda), 
Integer.toString(maxiterations), expectedDir());
 
-        double[][] X = getRandomMatrix(rows, cols, 0, 1, sparsity, -1);
-        double[][] Y = getRandomMatrix(rows, 1, -1, 1, 1, -1);
-        for(int i=0; i<rows; i++)
-               Y[i][0] = (Y[i][0] > 0) ? 1 : -1;
-        
-        writeInputMatrixWithMTD("X", X, true);
-        writeInputMatrixWithMTD("Y", Y, true);
-     
-        runTest(true, EXCEPTION_NOT_EXPECTED, null, maxNumberOfMRJobs);
-               
+               double[][] X = getRandomMatrix(rows, cols, 0, 1, sparsity, -1);
+               double[][] Y = getRandomMatrix(rows, 1, -1, 1, 1, -1);
+               for(int i=0; i<rows; i++)
+                       Y[i][0] = (Y[i][0] > 0) ? 1 : -1;
+
+               writeInputMatrixWithMTD("X", X, true);
+               writeInputMatrixWithMTD("Y", Y, true);
+               runTest(true, EXCEPTION_NOT_EXPECTED, null, maxNumberOfMRJobs);
+
                runRScript(true);
-        
+
                HashMap<CellIndex, Double> wR = readRMatrixFromFS("w");
-        HashMap<CellIndex, Double> wSYSTEMML= readDMLMatrixFromHDFS("w");
-        TestUtils.compareMatrices(wR, wSYSTEMML, Math.pow(10, -12), "wR", 
"wSYSTEMML");
-    }
+               HashMap<CellIndex, Double> wSYSTEMML= 
readDMLMatrixFromHDFS("w");
+               TestUtils.compareMatrices(wR, wSYSTEMML, epsilon, "wR", 
"wSYSTEMML");
+       }
 }

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