| /* |
| * 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.mlcontext; |
| |
| import org.apache.log4j.Logger; |
| import org.apache.sysds.api.mlcontext.Script; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.matrix.data.MatrixValue; |
| import org.apache.sysds.test.TestUtils; |
| import org.junit.Test; |
| |
| import java.util.HashMap; |
| |
| import static org.apache.sysds.api.mlcontext.ScriptFactory.dmlFromFile; |
| |
| public class MLContextPageRankTest extends MLContextTestBase { |
| protected static Logger log = Logger.getLogger(MLContextPageRankTest.class); |
| |
| protected final static String TEST_SCRIPT_PAGERANK = "scripts/staging/PageRank.dml"; |
| private final static double sparsity1 = 0.41; // dense |
| private final static double sparsity2 = 0.05; // sparse |
| |
| private final static double eps = 0.1; |
| |
| private final static int rows = 1468; |
| private final static int cols = 1468; |
| private final static double alpha = 0.85; |
| private final static double maxiter = 10; |
| |
| @Test |
| public void testPageRankSparse() { |
| runPageRankTestMLC(true); |
| } |
| |
| @Test |
| public void testPageRankDense() { |
| runPageRankTestMLC(false); |
| } |
| |
| |
| private void runPageRankTestMLC(boolean sparse) { |
| |
| //generate actual datasets |
| double[][] G = getRandomMatrix(rows, cols, 1, 1, sparse?sparsity2:sparsity1, 234); |
| double[][] p = getRandomMatrix(cols, 1, 0, 1e-14, 1, 71); |
| double[][] e = getRandomMatrix(rows, 1, 0, 1e-14, 1, 72); |
| double[][] u = getRandomMatrix(1, cols, 0, 1e-14, 1, 73); |
| writeInputMatrixWithMTD("G", G, true); |
| writeInputMatrixWithMTD("p", p, true); |
| writeInputMatrixWithMTD("e", e, true); |
| writeInputMatrixWithMTD("u", u, true); |
| |
| |
| fullRScriptName = "src/test/scripts/functions/codegenalg/Algorithm_PageRank.R"; |
| |
| rCmd = getRCmd(inputDir(), String.valueOf(alpha), |
| String.valueOf(maxiter), expectedDir()); |
| runRScript(true); |
| |
| MatrixBlock outmat = new MatrixBlock(); |
| |
| Script pr = dmlFromFile(TEST_SCRIPT_PAGERANK); |
| pr.in("G", G).in("p", p).in("e", e).in("u", u) |
| .in("$5", alpha).in("$6", maxiter) |
| .out("p"); |
| outmat = ml.execute(pr).getMatrix("p").toMatrixBlock(); |
| |
| |
| //compare matrices |
| HashMap<MatrixValue.CellIndex, Double> rfile = readRMatrixFromExpectedDir("p"); |
| TestUtils.compareMatrices(rfile, outmat, eps); |
| } |
| } |