| /* |
| * 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.apache.sysds.common.Types; |
| import org.apache.sysds.hops.OptimizerUtils; |
| import org.apache.sysds.lops.LopProperties; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| public class BuiltinGMMPredictTest extends AutomatedTestBase { |
| private final static String TEST_NAME = "GMM_Predict"; |
| private final static String TEST_DIR = "functions/builtin/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + BuiltinGMMPredictTest.class.getSimpleName() + "/"; |
| |
| private final static double eps = 2; |
| private final static double tol = 1e-3; |
| private final static double tol2 = 1e-5; |
| |
| private final static String DATASET = SCRIPT_DIR + "functions/transform/input/iris/iris.csv"; |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"B"})); |
| } |
| |
| @Test |
| public void testGMMMPredictCP1() { |
| runGMMPredictTest(3, "VVI", "random", 10, |
| 0.000000001, tol,42,true, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testGMMMPredictCP2() { |
| runGMMPredictTest(3, "VII", "random", 50, |
| 0.000001, tol2,42,true, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testGMMMPredictCPKmean1() { |
| runGMMPredictTest(3, "VVV", "kmeans", 10, |
| 0.0000001, tol,42,true, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testGMMMPredictCPKmean2() { |
| runGMMPredictTest(3, "EEE", "kmeans", 150, |
| 0.000001, tol,42,true, LopProperties.ExecType.CP); |
| } |
| |
| @Test |
| public void testGMMMPredictCPKmean3() { |
| runGMMPredictTest(3, "VII", "kmeans", 50, |
| 0.000001, tol2,42,true, LopProperties.ExecType.CP); |
| } |
| |
| // @Test |
| // public void testGMMM1Spark() { |
| // runGMMPredictTest(3, "VVV", "random", 10, |
| // 0.0000001, tol,42,true, LopProperties.ExecType.SPARK); } |
| // |
| // @Test |
| // public void testGMMM2Spark() { |
| // runGMMPredictTest(3, "EEE", "random", 50, |
| // 0.0000001, tol,42,true, LopProperties.ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testGMMMS3Spark() { |
| // runGMMPredictTest(3, "VVI", "random", 100, |
| // 0.000001, tol,42,true, LopProperties.ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testGMMM4Spark() { |
| // runGMMPredictTest(3, "VII", "random", 100, |
| // 0.000001, tol1,42,true, LopProperties.ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testGMMM1KmeanSpark() { |
| // runGMMPredictTest(3, "VVV", "kmeans", 100, |
| // 0.000001, tol2,42,false, LopProperties.ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testGMMM2KmeanSpark() { |
| // runGMMPredictTest(3, "EEE", "kmeans", 50, |
| // 0.00000001, tol1,42,false, LopProperties.ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testGMMM3KmeanSpark() { |
| // runGMMPredictTest(3, "VVI", "kmeans", 100, |
| // 0.000001, tol,42,false, LopProperties.ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testGMMM4KmeanSpark() { |
| // runGMMPredictTest(3, "VII", "kmeans", 100, |
| // 0.000001, tol,42,false, LopProperties.ExecType.SPARK); |
| // } |
| |
| private void runGMMPredictTest(int G_mixtures, String model, String init_param, int iter, |
| double reg, double tol, int seed, boolean rewrite, LopProperties.ExecType instType) { |
| |
| Types.ExecMode platformOld = setExecMode(instType); |
| boolean rewriteOld = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrite; |
| try { |
| loadTestConfiguration(getTestConfiguration(TEST_NAME)); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| String outFile = output("O"); |
| System.out.println(outFile); |
| programArgs = new String[] {"-args", DATASET, |
| String.valueOf(G_mixtures), model, init_param, String.valueOf(iter), String.valueOf(reg), |
| String.valueOf(tol), String.valueOf(seed), outFile}; |
| |
| runTest(true, false, null, -1); |
| // compare results |
| double accuracy = TestUtils.readDMLScalar(outFile); |
| Assert.assertEquals(1, accuracy, eps); |
| } |
| finally { |
| resetExecMode(platformOld); |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewriteOld; |
| } |
| } |
| } |