///////////////////////////////////////////////////////////////////////////////
// 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.                               //
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// 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      //
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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);
    }
}




