Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below. //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard //
// Scheines, Joseph Ramsey, and Clark Glymour. //
// //
// This program 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; either version 2 of the License, or //
// (at your option) any later version. //
// //
// This program 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 this program; if not, write to the Free Software //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA //
///////////////////////////////////////////////////////////////////////////////
package edu.cmu.tetrad.algcomparison.examples;
import edu.cmu.tetrad.algcomparison.Comparison;
import edu.cmu.tetrad.algcomparison.algorithm.Algorithms;
import edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag.Fges;
import edu.cmu.tetrad.algcomparison.graph.RandomForward;
import edu.cmu.tetrad.algcomparison.score.ConditionalGaussianBicScore;
import edu.cmu.tetrad.algcomparison.simulation.BayesNetSimulation;
import edu.cmu.tetrad.algcomparison.simulation.Simulations;
import edu.cmu.tetrad.algcomparison.statistic.*;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.Params;
/**
* An example script to simulate data and run a comparison analysis on it.
*
* @author josephramsey
*/
public class ExampleCompareSimulation2 {
public static void main(String... args) {
Parameters parameters = new Parameters();
parameters.set(Params.NUM_RUNS, 1);
parameters.set(Params.NUM_MEASURES, 20);
parameters.set(Params.AVG_DEGREE, 4);
parameters.set(Params.RANDOMIZE_COLUMNS, true);
Statistics statistics = new Statistics();
statistics.add(new AdjacencyPrecision());
statistics.add(new AdjacencyRecall());
statistics.add(new ArrowheadPrecision());
statistics.add(new ArrowheadRecall());
statistics.setWeight("AP", 1.0);
statistics.setWeight("AR", 0.5);
Algorithms algorithms = new Algorithms();
algorithms.add(new Fges(new ConditionalGaussianBicScore()));
Simulations simulations = new Simulations();
simulations.add(new BayesNetSimulation(new RandomForward()));
Comparison comparison = new Comparison();
comparison.setShowAlgorithmIndices(true);
comparison.setShowSimulationIndices(true);
comparison.setSortByUtility(true);
comparison.setShowUtilities(true);
comparison.setSaveGraphs(true);
comparison.compareFromSimulations("comparetest", simulations, algorithms, statistics, parameters);
}
}