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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         //
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// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
///////////////////////////////////////////////////////////////////////////////

package edu.cmu.tetrad.study.examples.conditions;

import edu.cmu.tetrad.algcomparison.Comparison;
import edu.cmu.tetrad.algcomparison.algorithm.Algorithms;
import edu.cmu.tetrad.algcomparison.algorithm.oracle.pag.Gfci;
import edu.cmu.tetrad.algcomparison.independence.FisherZ;
import edu.cmu.tetrad.algcomparison.score.SemBicScore;
import edu.cmu.tetrad.algcomparison.statistic.*;
import edu.cmu.tetrad.util.Parameters;

/**
 * An example script to load in data sets and graphs from files and analyze them. The files loaded must be in the same
 * format as
 * 

* new Comparison().saveDataSetAndGraphs("comparison/save1", simulation, parameters); *

* saves them. For other formats, specialty data loaders can be written to implement the Simulation interface. * * @author josephramsey */ public class ExampleCompareFromFiles { public static void main(String... args) { Parameters parameters = new Parameters(); parameters.set("numRuns", 1); // parameters.set("numMeasures", 20,100,1000); parameters.set("numMeasures", 1000); parameters.set("numLatents", 200); parameters.set("avgDegree", 2); parameters.set("sampleSize", 1000); parameters.set("penaltyDisount", 2); parameters.set("alpha", 1e-4); Statistics statistics = new Statistics(); statistics.add(new ParameterColumn("avgDegree")); statistics.add(new ParameterColumn("sampleSize")); statistics.add(new AdjacencyPrecision()); statistics.add(new AdjacencyRecall()); statistics.add(new ArrowheadPrecision()); statistics.add(new ArrowheadRecall()); statistics.add(new MathewsCorrArrow()); statistics.add(new F1Adj()); statistics.add(new F1Arrow()); statistics.add(new StructuralHammingDistance()); statistics.add(new ElapsedCpuTime()); statistics.setWeight("AP", 1.0); statistics.setWeight("AR", 0.5); statistics.setWeight("AHP", 1.0); statistics.setWeight("AHR", 0.5); Algorithms algorithms = new Algorithms(); algorithms.add(new Gfci(new FisherZ(), new SemBicScore())); // algorithms.add(new Fges(new BdeuScore(),true)); // algorithms.add(new Fges(new DiscreteBicScore(),true)); // algorithms.add(new Fges(new SemBicScore())); // algorithms.add(new Gfci(new ChiSquare(), new DiscreteBicScore()))); Comparison comparison = new Comparison(); comparison.setShowAlgorithmIndices(true); comparison.setShowSimulationIndices(false); comparison.setSortByUtility(true); comparison.setShowUtilities(true); comparison.setSaveGraphs(true); //DagToPag p = new DagToPag(graph); comparison.compareFromFiles("comparison", algorithms, statistics, parameters); } }





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