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// 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.graph.RandomForward;
import edu.cmu.tetrad.algcomparison.simulation.ConditionalGaussianSimulation;
import edu.cmu.tetrad.algcomparison.simulation.Simulation;
import edu.cmu.tetrad.util.Parameters;
/**
* An example script to save out data files and graphs from a simulation.
*
* @author josephramsey
*/
public class SaveDGSimulations {
public static void main(String... args) {
Parameters parameters = new Parameters();
parameters.set("numRuns", 30);
parameters.set("numMeasures", 100, 500, 1000);
parameters.set("avgDegree", 4);
parameters.set("maxDegree", 100);
parameters.set("numCategories", 3);
parameters.set("minCategories", 2);
parameters.set("maxCategories", 4);
parameters.set("sampleSize", 1000);
parameters.set("percentDiscrete", 50);
parameters.set("differentGraphs", true);
Simulation simulation = new ConditionalGaussianSimulation(new RandomForward());
Comparison comparison = new Comparison();
comparison.setShowAlgorithmIndices(true);
comparison.saveToFiles("comparison-CG-measures", simulation, parameters);
}
}
