Java tutorial
/******************************************************************************* * Copyright (C) 2014 Francois Petitjean * * This file is part of Chordalysis. * * Chordalysis is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, version 3 of the License. * * Chordalysis is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with Chordalysis. If not, see <http://www.gnu.org/licenses/>. ******************************************************************************/ package demo; import java.io.BufferedOutputStream; import java.io.BufferedReader; import java.io.File; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStreamReader; import java.io.PrintWriter; import java.net.URL; import model.DecomposableModel; import weka.core.Instances; import weka.core.converters.CSVLoader; import explorer.ChordalysisModelling; public class Demo { /** * @param args * @throws IOException */ public static void main(String[] args) throws IOException { CSVLoader loader = new CSVLoader(); System.out.println("Downloading dataset..."); URL oracle = new URL("http://repository.seasr.org/Datasets/UCI/csv/mushroom.csv"); File csvFile = File.createTempFile("data-", ".csv"); BufferedReader in = new BufferedReader(new InputStreamReader(oracle.openStream())); PrintWriter out = new PrintWriter(new BufferedOutputStream(new FileOutputStream(csvFile))); String inputLine; while ((inputLine = in.readLine()) != null) { out.println(inputLine); } in.close(); out.close(); System.out.println("Dataset written to: " + csvFile.getAbsolutePath()); loader.setFile(csvFile); loader.setNominalAttributes("first-last"); Instances instances = loader.getDataSet(); String[] variablesNames = new String[instances.numAttributes()]; for (int i = 0; i < variablesNames.length; i++) { variablesNames[i] = instances.attribute(i).name(); } ChordalysisModelling modeller = new ChordalysisModelling(0.05); System.out.println("Learning..."); modeller.buildModel(instances); DecomposableModel bestModel = modeller.getModel(); bestModel.display(variablesNames); System.out.println("The model selected is:"); System.out.println(bestModel.toString(variablesNames)); bestModel.display(variablesNames); } }