| /* |
| * 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.MLResults; |
| 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 MLContextPNMFTest extends MLContextTestBase { |
| protected static Logger log = Logger.getLogger(MLContextPNMFTest.class); |
| |
| protected final static String TEST_SCRIPT_PNMF = "scripts/staging/PNMF.dml"; |
| private final static double sparsity1 = 0.7; // dense |
| private final static double sparsity2 = 0.1; // sparse |
| |
| private final static double eps = 1e-5; |
| |
| private final static int rows = 1468; |
| private final static int cols = 1207; |
| private final static int rank = 20; |
| |
| private final static double epsilon = 0.000000001;//1e-9 |
| private final static double maxiter = 10; |
| |
| @Test |
| public void testPNMFSparse() { |
| runPNMFTestMLC(true); |
| } |
| |
| @Test |
| public void testPNMFDense() { |
| runPNMFTestMLC(false); |
| } |
| |
| |
| private void runPNMFTestMLC(boolean sparse) { |
| |
| //generate actual datasets |
| double[][] X = getRandomMatrix(rows, cols, 0, 1, sparse?sparsity2:sparsity1, 234); |
| double[][] W = getRandomMatrix(rows, rank, 0, 1e-14, 1, 71); |
| double[][] H = getRandomMatrix(rank, cols, 0, 1e-14, 1, 72); |
| writeInputMatrixWithMTD("X", X, true); |
| writeInputMatrixWithMTD("W", W, true); |
| writeInputMatrixWithMTD("H", H, true); |
| |
| |
| fullRScriptName = "src/test/scripts/functions/codegenalg/Algorithm_PNMF.R"; |
| |
| rCmd = getRCmd(inputDir(), String.valueOf(rank), |
| String.valueOf(epsilon), String.valueOf(maxiter), expectedDir()); |
| runRScript(true); |
| |
| |
| Script pnmf = dmlFromFile(TEST_SCRIPT_PNMF); |
| pnmf.in("X", X).in("W", W).in("H", H).in("$4", rank) |
| .in("$5", epsilon).in("$6", maxiter) |
| .out("W").out("H"); |
| MLResults outres = ml.execute(pnmf); |
| MatrixBlock dmlW = outres.getMatrix("W").toMatrixBlock(); |
| MatrixBlock dmlH = outres.getMatrix("H").toMatrixBlock(); |
| |
| //compare matrices |
| HashMap<MatrixValue.CellIndex, Double> rW = readRMatrixFromExpectedDir("W"); |
| HashMap<MatrixValue.CellIndex, Double> rH = readRMatrixFromExpectedDir("H"); |
| TestUtils.compareMatrices(rW, dmlW, eps); |
| TestUtils.compareMatrices(rH, dmlH, eps); |
| } |
| } |