| /* |
| * 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.builtin; |
| |
| import org.junit.Assert; |
| import org.junit.Test; |
| import org.apache.commons.lang.ArrayUtils; |
| import org.apache.sysds.common.Types; |
| import org.apache.sysds.lops.LopProperties; |
| import org.apache.sysds.runtime.lineage.LineageCacheConfig.ReuseCacheType; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| import java.util.HashMap; |
| |
| public class BuiltinMiceTest extends AutomatedTestBase { |
| private final static String TEST_NAME = "mice"; |
| private final static String TEST_DIR = "functions/builtin/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + BuiltinMiceTest.class.getSimpleName() + "/"; |
| |
| private final static String DATASET = SCRIPT_DIR +"functions/transform/input/ChickWeight.csv"; |
| private final static double eps = 0.16; |
| private final static int iter = 3; |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[]{"B"})); |
| } |
| @Test |
| public void testMiceMixCP() { |
| double[][] mask = {{ 0.0, 0.0, 1.0, 1.0, 0.0}}; |
| runMiceNominalTest(mask, 1, false, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testMiceNumberCP() { |
| double[][] mask = {{ 0.0, 0.0, 0.0, 0.0, 0.0}}; |
| runMiceNominalTest(mask, 2, false, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testMiceCategoricalCP() { |
| double[][] mask = {{ 1.0, 1.0, 1.0, 1.0, 1.0}}; |
| runMiceNominalTest(mask, 3, false, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testMiceMixLineageReuseCP() { |
| double[][] mask = {{ 0.0, 0.0, 1.0, 1.0, 0.0}}; |
| runMiceNominalTest(mask, 1, true, LopProperties.ExecType.CP); |
| } |
| |
| //added a single, relatively-fast spark test, others seem infeasible |
| //as forcing every operation to spark takes too long for complex, |
| //composite builtins like mice. |
| |
| @Test |
| public void testMiceNumberSpark() { |
| double[][] mask = {{ 0.0, 0.0, 0.0, 0.0, 0.0}}; |
| runMiceNominalTest(mask, 2, false, LopProperties.ExecType.SPARK); |
| } |
| |
| private void runMiceNominalTest(double[][] mask, int testType, boolean lineage, LopProperties.ExecType instType) { |
| Types.ExecMode platformOld = setExecMode(instType); |
| try { |
| loadTestConfiguration(getTestConfiguration(TEST_NAME)); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-nvargs", "X=" + DATASET, "Mask="+input("M"), |
| "iteration=" + iter, "dataN=" + output("N"), "dataC=" + output("C")}; |
| if (lineage) { |
| programArgs = (String[]) ArrayUtils.addAll(programArgs, new String[] { |
| "-stats","-lineage", ReuseCacheType.REUSE_HYBRID.name().toLowerCase()}); |
| } |
| writeInputMatrixWithMTD("M", mask, true); |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = getRCmd(DATASET, inputDir(), expectedDir()); |
| |
| runTest(true, false, null, -1); |
| runRScript(true); |
| |
| switch (testType) { |
| case 1: |
| testCategoricalOutput(); |
| testNumericOutput(); |
| break; |
| case 2: |
| testNumericOutput(); |
| break; |
| case 3: |
| testCategoricalOutput(); |
| break; |
| } |
| } |
| finally { |
| rtplatform = platformOld; |
| } |
| } |
| |
| private void testNumericOutput() { |
| //compare matrices |
| HashMap<MatrixValue.CellIndex, Double> dmlfileN = readDMLMatrixFromOutputDir("N"); |
| HashMap<MatrixValue.CellIndex, Double> rfileN = readRMatrixFromExpectedDir("N"); |
| |
| // compare numerical imputations |
| TestUtils.compareMatrices(dmlfileN, rfileN, eps, "Stat-DML", "Stat-R"); |
| } |
| |
| private void testCategoricalOutput() { |
| HashMap<MatrixValue.CellIndex, Double> dmlfileC = readDMLMatrixFromOutputDir("C"); |
| HashMap<MatrixValue.CellIndex, Double> rfileC = readRMatrixFromExpectedDir("C"); |
| |
| // compare categorical imputations |
| int countTrue = 0; |
| for (MatrixValue.CellIndex index : dmlfileC.keySet()) { |
| Double v1 = dmlfileC.get(index); |
| Double v2 = rfileC.get(index); |
| if(v1.equals(v2)) |
| countTrue++; |
| } |
| |
| if(countTrue / (double)dmlfileC.size() > 0.98) |
| Assert.assertTrue(true); |
| else |
| Assert.fail("categorical test fails, the true value count is less than 98%"); |
| } |
| } |