| /* |
| * 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.functions.ternary; |
| |
| import java.util.HashMap; |
| |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| /** |
| * |
| */ |
| public class CovarianceWeightsTest extends AutomatedTestBase |
| { |
| |
| private final static String TEST_NAME = "CovarianceWeights"; |
| private final static String TEST_DIR = "functions/ternary/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + CovarianceWeightsTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rows = 1871; |
| private final static int maxVal = 7; |
| private final static double sparsity1 = 0.65; |
| private final static double sparsity2 = 0.05; |
| |
| |
| @Override |
| public void setUp() |
| { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] { "R" }) ); |
| } |
| |
| @Test |
| public void testCovarianceWeightsDenseCP() |
| { |
| runCovarianceTest(false, ExecType.CP); |
| } |
| |
| @Test |
| public void testCovarianceWeightsSparseCP() |
| { |
| runCovarianceTest(true, ExecType.CP); |
| } |
| |
| @Test |
| public void testCovarianceWeightsDenseSP() |
| { |
| runCovarianceTest(false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testCovarianceWeightsSparseSP() |
| { |
| runCovarianceTest(true, ExecType.SPARK); |
| } |
| |
| /** |
| * |
| * @param sparseM1 |
| * @param sparseM2 |
| * @param instType |
| */ |
| private void runCovarianceTest( boolean sparse, ExecType et) |
| { |
| //rtplatform for MR |
| ExecMode platformOld = rtplatform; |
| switch( et ){ |
| case SPARK: rtplatform = ExecMode.SPARK; break; |
| default: rtplatform = ExecMode.HYBRID; break; |
| } |
| |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| if( rtplatform == ExecMode.SPARK ) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| try |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| loadTestConfiguration(config); |
| |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-args", input("A"), |
| input("B"), input("C"), output("R")}; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset (always dense because values <=0 invalid) |
| double sparsitya = sparse ? sparsity2 : sparsity1; |
| double[][] A = getRandomMatrix(rows, 1, 1, maxVal, sparsitya, 7); |
| writeInputMatrixWithMTD("A", A, true); |
| |
| double[][] B = getRandomMatrix(rows, 1, 1, 1, 1.0, 34); |
| writeInputMatrixWithMTD("B", B, true); |
| |
| double[][] C = getRandomMatrix(rows, 1, 1, 1, 1.0, 8623); |
| writeInputMatrixWithMTD("C", C, true); |
| |
| runTest(true, false, null, -1); |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("R"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromFS("R"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R"); |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| |
| } |