| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you under the Apache License, Version 2.0 (the |
| * "License"); you may not use this file except in compliance |
| * with the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, |
| * software distributed under the License is distributed on an |
| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| * KIND, either express or implied. See the License for the |
| * specific language governing permissions and limitations |
| * under the License. |
| */ |
| |
| package org.apache.sysds.test.applications; |
| |
| import java.util.HashMap; |
| |
| import org.junit.Test; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.runtime.meta.MatrixCharacteristics; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| public class ParForCVMulticlassSVMTest extends AutomatedTestBase |
| { |
| |
| private final static String TEST_NAME = "parfor_cv_multiclasssvm"; |
| private final static String TEST_DIR = "applications/parfor/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + ParForCVMulticlassSVMTest.class.getSimpleName() + "/"; |
| |
| private final static double eps = 1e-10; |
| |
| //script parameters |
| private final static int rows = 1200; |
| private final static int cols = 70; |
| |
| private final static double sparsity1 = 1.0; |
| private final static double sparsity2 = 0.1; |
| |
| private final static int k = 4; |
| private final static int intercept = 0; |
| private final static int numclasses = 3; |
| private final static double epsilon = 0.001; |
| private final static double lambda = 1.0; |
| private final static int maxiter = 100; |
| |
| /** |
| * Main method for running one test at a time. |
| */ |
| public static void main(String[] args) { |
| long startMsec = System.currentTimeMillis(); |
| |
| ParForCVMulticlassSVMTest t = new ParForCVMulticlassSVMTest(); |
| t.setUpBase(); |
| t.setUp(); |
| t.testForCVMulticlassSVMSerialDense(); |
| t.tearDown(); |
| |
| long elapsedMsec = System.currentTimeMillis() - startMsec; |
| System.err.printf("Finished in %1.3f sec\n", elapsedMsec / 1000.0); |
| |
| } |
| |
| @Override |
| public void setUp() |
| { |
| addTestConfiguration(TEST_NAME, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] { "stats" }) ); |
| } |
| |
| @Test |
| public void testForCVMulticlassSVMSerialDense() |
| { |
| runParForMulticlassSVMTest(0, false); |
| } |
| |
| @Test |
| public void testForCVMulticlassSVMSerialSparse() |
| { |
| runParForMulticlassSVMTest(0, false); |
| } |
| |
| @Test |
| public void testParForCVMulticlassSVMLocalDense() |
| { |
| runParForMulticlassSVMTest(1, false); |
| } |
| |
| @Test |
| public void testParForCVMulticlassSVMLocalSparse() |
| { |
| runParForMulticlassSVMTest(1, true); |
| } |
| |
| @Test |
| public void testParForCVMulticlassSVMOptDense() |
| { |
| runParForMulticlassSVMTest(4, false); |
| } |
| |
| @Test |
| public void testParForCVMulticlassSVMOptSparse() |
| { |
| runParForMulticlassSVMTest(4, true); |
| } |
| |
| /** |
| * |
| * @param scriptNum |
| * @param sparse |
| */ |
| private void runParForMulticlassSVMTest( int scriptNum, boolean sparse ) |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| config.addVariable("rows", rows); |
| config.addVariable("cols", cols); |
| loadTestConfiguration(config); |
| |
| /* This is for running the junit test the new way, i.e., construct the arguments directly */ |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME +scriptNum + ".dml"; |
| programArgs = new String[]{"-args", input("X"), input("y"), |
| Integer.toString(rows), Integer.toString(cols), |
| Integer.toString(k), Integer.toString(intercept), Integer.toString(numclasses), |
| Double.toString(epsilon), Double.toString(lambda), Integer.toString(maxiter), |
| output("stats"), input("P")}; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + |
| Integer.toString(k) + " " + Integer.toString(intercept) + " " + Integer.toString(numclasses) + " " + |
| Double.toString(epsilon) + " " + Double.toString(lambda) + " " + Integer.toString(maxiter) + " " + |
| expectedDir(); |
| |
| double sparsity = (sparse)? sparsity2 : sparsity1; |
| |
| //generate actual dataset |
| double[][] X = getRandomMatrix(rows, cols, 0, 1, sparsity, 7); |
| double[][] y = TestUtils.round(getRandomMatrix(rows, 1, 0.51, numclasses+0.49, 1.0, 7)); |
| double[][] P = TestUtils.round(getRandomMatrix(rows, 1, 0.51, k+0.49, 1.0, 3)); |
| |
| MatrixCharacteristics mc1 = new MatrixCharacteristics(rows,cols,-1,-1); |
| writeInputMatrixWithMTD("X", X, true, mc1); |
| MatrixCharacteristics mc2 = new MatrixCharacteristics(rows,1,-1,-1); |
| writeInputMatrixWithMTD("y", y, true, mc2); |
| MatrixCharacteristics mc3 = new MatrixCharacteristics(rows,1,-1,-1); |
| writeInputMatrixWithMTD("P", P, true, mc3); |
| |
| boolean exceptionExpected = false; |
| runTest(true, exceptionExpected, null, -1); |
| |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("stats"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromFS("stats"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "DML", "R"); |
| } |
| } |