Examples with Algorithms edu.cmu.tetrad.algcomparison.algorithm.Algorithms used on opensource projects

Example 21 with Algorithms

use of edu.cmu.tetrad.algcomparison.algorithm.Algorithms in project tetrad by cmu-phil.

the class ExampleCompareSimulation method main.

public static void main(String... args) {
    if (args.length > 0) {
        int numMeasures = Integer.parseInt(args[0]);
        int avgDegree = Integer.parseInt(args[1]);
        Parameters parameters = new Parameters();
        // parameters.set("minCategories", 3);
        // parameters.set("maxCategories", 3);
        parameters.set("numRuns", 2);
        parameters.set("differentGraphs", true);
        parameters.set("sampleSize", 1000);
        parameters.set("numMeasures", numMeasures);
        parameters.set("numLatents", 0);
        parameters.set("avgDegree", avgDegree);
        parameters.set("maxDegree", 100);
        parameters.set("maxIndegree", 100);
        parameters.set("maxOutdegree", 100);
        parameters.set("connected", false);
        parameters.set("coefLow", 0.2);
        parameters.set("coefHigh", 0.9);
        parameters.set("varLow", 1);
        parameters.set("varHigh", 3);
        parameters.set("verbose", false);
        parameters.set("coefSymmetric", true);
        parameters.set("numRuns", 1);
        parameters.set("percentDiscrete", 0);
        parameters.set("numCategories", 3);
        parameters.set("differentGraphs", true);
        parameters.set("sampleSize", 1000);
        parameters.set("intervalBetweenShocks", 10);
        parameters.set("intervalBetweenRecordings", 10);
        parameters.set("fisherEpsilon", 0.001);
        parameters.set("randomizeColumns", true);
        parameters.set("alpha", 1e-8);
        parameters.set("depth", -1);
        parameters.set("penaltyDiscount", 4);
        parameters.set("useMaxPOrientationHeuristic", false);
        parameters.set("maxPOrientationMaxPathLength", 3);
        parameters.set("verbose", false);
        parameters.set("scaleFreeAlpha", 0.00001);
        parameters.set("scaleFreeBeta", 0.4);
        parameters.set("scaleFreeDeltaIn", .1);
        parameters.set("scaleFreeDeltaOut", 3);
        parameters.set("symmetricFirstStep", false);
        parameters.set("faithfulnessAssumed", true);
        parameters.set("maxDegree", 100);
        Statistics statistics = new Statistics();
        statistics.add(new ParameterColumn("numMeasures"));
        statistics.add(new ParameterColumn("avgDegree"));
        statistics.add(new AdjacencyPrecision());
        statistics.add(new AdjacencyRecall());
        statistics.add(new ArrowheadPrecision());
        statistics.add(new ArrowheadRecall());
        // statistics.add(new NumBidirectedEdges());
        // statistics.add(new MathewsCorrAdj());
        // statistics.add(new MathewsCorrArrow());
        // statistics.add(new F1Adj());
        // statistics.add(new F1Arrow());
        // statistics.add(new SHD());
        statistics.add(new ElapsedTime());
        statistics.setWeight("AP", 0.25);
        statistics.setWeight("AR", 0.25);
        statistics.setWeight("AHP", 0.25);
        statistics.setWeight("AHR", 0.25);
        Algorithms algorithms = new Algorithms();
        // algorithms.add(new Pc(new FisherZ()));
        // algorithms.add(new Pc(new SemBicTest()));
        // algorithms.add(new Cpc(new FisherZ()));
        // algorithms.add(new PcStable(new FisherZ()));
        // algorithms.add(new CpcStable(new FisherZ()));
        // algorithms.add(new PcStableMax(new FisherZ(), false));
        // algorithms.add(new PcStableMax(new SemBicTest(), false));
        algorithms.add(new Fges(new FisherZScore(), false));
        // algorithms.add(new Fges(new SemBicScore(), false));
        Simulations simulations = new Simulations();
        simulations.add(new LinearFisherModel(new RandomForward()));
        Comparison comparison = new Comparison();
        comparison.setShowAlgorithmIndices(true);
        comparison.setShowSimulationIndices(true);
        comparison.setSortByUtility(false);
        comparison.setShowUtilities(true);
        comparison.compareFromSimulations("comparisonJoe", simulations, algorithms, statistics, parameters);
    }
}

Example 22 with Algorithms

use of edu.cmu.tetrad.algcomparison.algorithm.Algorithms in project tetrad by cmu-phil.

the class TestImagesSimulation method test1.

public void test1() {
    Parameters parameters = new Parameters();
    parameters.set("numRuns", 1);
    parameters.set("numMeasures", 100);
    parameters.set("avgDegree", 8);
    // parameters.set("maxDegree", 8);
    // parameters.set("maxIndegree",  3);
    // parameters.set("maxOutdegree", 3);
    parameters.set("sampleSize", 500);
    parameters.set("penaltyDiscount", 4);
    // parameters.set("alpha", 0.001);
    // parameters.set("maxDegree", 5);
    // parameters.set("numCategoriesToDiscretize", 3);
    parameters.set("intervalBetweenRecordings", 20);
    parameters.set("varLow", 1.);
    parameters.set("varHigh", 3.);
    parameters.set("coefLow", .1);
    parameters.set("coefHigh", 1);
    parameters.set("coefSymmetric", true);
    parameters.set("meanLow", -1);
    parameters.set("meanHigh", 1);
    // parameters.set("scaleFreeAlpha", .9);
    // parameters.set("scaleFreeBeta", .05);
    // parameters.set("scaleFreeDeltaIn", 3);
    // parameters.set("scaleFreeDeltaOut", .1);
    parameters.set("numRuns", 1);
    parameters.set("randomSelectionSize", 3);
    Statistics statistics = new Statistics();
    // statistics.add(new ParameterColumn("numCategories"));
    statistics.add(new AdjacencyPrecision());
    statistics.add(new AdjacencyRecall());
    statistics.add(new ArrowheadPrecision());
    statistics.add(new ArrowheadRecall());
    statistics.add(new ElapsedTime());
    statistics.setWeight("AP", 1.0);
    statistics.setWeight("AR", 0.5);
    Algorithms algorithms = new Algorithms();
    algorithms.add(new ImagesSemBic());
    algorithms.add(new ImagesPcStableMax());
    Simulations simulations = new Simulations();
    simulations.add(new LinearFisherModel(new RandomForward()));
    Comparison comparison = new Comparison();
    comparison.setShowAlgorithmIndices(true);
    comparison.setShowSimulationIndices(false);
    comparison.setSortByUtility(false);
    comparison.setShowUtilities(false);
    comparison.setParallelized(true);
    // comparison.setSaveGraphs(true);
    comparison.setTabDelimitedTables(false);
    comparison.compareFromSimulations("comparison", simulations, algorithms, statistics, parameters);
}

Example 23 with Algorithms

use of edu.cmu.tetrad.algcomparison.algorithm.Algorithms in project tetrad by cmu-phil.

the class TestSimulatedFmri2 method TestCycles_Data_fMRI_FASK.

public void TestCycles_Data_fMRI_FASK() {
    Parameters parameters = new Parameters();
    parameters.set("penaltyDiscount", 8);
    parameters.set("depth", -1);
    parameters.set("faskDelta", -0.2);
    parameters.set("twoCycleAlpha", 1e-15);
    parameters.set("numRuns", 60);
    // parameters.set("randomSelectionSize", 1);
    parameters.set("Structure", "Placeholder");
    Statistics statistics = new Statistics();
    statistics.add(new ParameterColumn("Structure"));
    statistics.add(new AdjacencyPrecision());
    statistics.add(new AdjacencyRecall());
    // statistics.add(new MathewsCorrAdj());
    statistics.add(new ArrowheadPrecision());
    statistics.add(new ArrowheadRecall());
    statistics.add(new TwoCyclePrecision());
    statistics.add(new TwoCycleRecall());
    statistics.add(new TwoCycleFalsePositive());
    statistics.add(new TwoCycleFalseNegative());
    statistics.add(new TwoCycleTruePositive());
    statistics.add(new ElapsedTime());
    statistics.setWeight("AHR", 1.0);
    statistics.setWeight("2CP", 1.0);
    statistics.setWeight("2CR", 1.0);
    statistics.setWeight("2CFP", 1.0);
    Simulations simulations = new Simulations();
    String dir = "/Users/user/Downloads/CyclesTestingData/";
    String subdir = "data_fslfilter_concat";
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network1_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network2_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network3_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network4_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont_p3n7", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont_p7n3", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_cont", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_cont", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_cont", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_cont_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_cont", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_cont_amp", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Diamond", subdir));
    simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Markov_Complex_1", subdir));
    Algorithms algorithms = new Algorithms();
    algorithms.add(new edu.cmu.tetrad.algcomparison.algorithm.multi.Fask(new SemBicScore()));
    // 
    Comparison comparison = new Comparison();
    comparison.setShowAlgorithmIndices(true);
    comparison.setShowSimulationIndices(true);
    comparison.setSortByUtility(false);
    comparison.setShowUtilities(false);
    comparison.setParallelized(false);
    comparison.setSaveGraphs(false);
    comparison.setTabDelimitedTables(false);
    comparison.setSaveGraphs(true);
    String directory = "comparison_testing_nonconcat";
    comparison.compareFromSimulations(directory, simulations, algorithms, statistics, parameters);
}

Example 24 with Algorithms

use of edu.cmu.tetrad.algcomparison.algorithm.Algorithms in project tetrad by cmu-phil.

the class TestSimulatedFmri method task.

private void task(boolean testing) {
    Parameters parameters = new Parameters();
    parameters.set("penaltyDiscount", 4);
    parameters.set("depth", -1);
    parameters.set("twoCycleAlpha", 1e-10);
    parameters.set("faskDelta", -.2);
    parameters.set("reverseOrientationsBySignOfCorrelation", false);
    parameters.set("reverseOrientationsBySkewnessOfVariables", false);
    parameters.set("numRuns", 10);
    parameters.set("randomSelectionSize", 10);
    parameters.set("Structure", "Placeholder");
    Statistics statistics = new Statistics();
    statistics.add(new ParameterColumn("Structure"));
    statistics.add(new AdjacencyPrecision());
    statistics.add(new AdjacencyRecall());
    // statistics.add(new MathewsCorrAdj());
    statistics.add(new ArrowheadPrecision());
    statistics.add(new ArrowheadRecall());
    statistics.add(new TwoCyclePrecision());
    statistics.add(new TwoCycleRecall());
    statistics.add(new TwoCycleFalsePositive());
    statistics.add(new TwoCycleFalseNegative());
    statistics.add(new TwoCycleTruePositive());
    statistics.add(new ElapsedTime());
    statistics.setWeight("AHR", 1.0);
    statistics.setWeight("2CP", 1.0);
    statistics.setWeight("2CR", 1.0);
    statistics.setWeight("2CFP", 1.0);
    Simulations simulations = new Simulations();
    if (!testing) {
        String dir = "/Users/user/Downloads/Cycles_Data_fMRI/";
        String subdir = "data_fslfilter";
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network1_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network2_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network3_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network4_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_contr", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_contr_p2n6", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_contr_p6n2", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_contr", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_contr", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_contr", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_contr_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_contr", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_contr_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Diamond", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Markov_Complex_1", subdir));
    } else {
        String dir = "/Users/user/Downloads/CyclesTestingData/";
        String subdir = "data_fslfilter";
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network1_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network2_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network3_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network4_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont_p3n7", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network5_cont_p7n3", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network6_cont", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network7_cont", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_amp_cont", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network8_cont_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_amp_cont", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Network9_cont_amp", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Diamond", subdir));
        simulations.add(new LoadContinuousDataAndSingleGraph(dir + "Markov_Complex_1", subdir));
    }
    Algorithms algorithms = new Algorithms();
    algorithms.add(new FaskConcatenated(new SemBicScore()));
    // algorithms.add(new FaskGfciConcatenated(new SemBicTest()));
    // algorithms.add(new FasLofsConcatenated(Lofs2.Rule.RSkew));
    Comparison comparison = new Comparison();
    comparison.setShowAlgorithmIndices(true);
    comparison.setShowSimulationIndices(true);
    comparison.setSortByUtility(false);
    comparison.setShowUtilities(false);
    comparison.setParallelized(false);
    comparison.setSaveGraphs(false);
    comparison.setTabDelimitedTables(false);
    comparison.setSaveGraphs(true);
    String directory;
    if (!testing) {
        directory = "comparison_training";
    } else {
        directory = "comparison_testing";
    }
    comparison.compareFromSimulations(directory, simulations, algorithms, statistics, parameters);
}

Example 25 with Algorithms

use of edu.cmu.tetrad.algcomparison.algorithm.Algorithms in project tetrad by cmu-phil.

the class TestCopy method main.

/**
 * An example script to simulate data and run a comparison analysis on it.
 *
 * @author jdramsey
 */
public static void main(String... args) {
    Parameters parameters = new Parameters();
    parameters.set("numRuns", 10);
    parameters.set("numMeasures", 100);
    parameters.set("avgDegree", 2, 4, 6);
    parameters.set("sampleSize", 200);
    parameters.set("alpha", 1e-4, 1e-3, 1e-2);
    parameters.set("penaltyDiscount", 1);
    Statistics statistics = new Statistics();
    statistics.add(new ParameterColumn("sampleSize"));
    statistics.add(new ParameterColumn("avgDegree"));
    statistics.add(new ParameterColumn("alpha"));
    statistics.add(new AdjacencyPrecision());
    statistics.add(new AdjacencyRecall());
    statistics.add(new ArrowheadPrecision());
    statistics.add(new ArrowheadRecall());
    statistics.add(new MathewsCorrAdj());
    statistics.add(new MathewsCorrArrow());
    statistics.add(new F1Adj());
    statistics.add(new F1Arrow());
    statistics.add(new SHD());
    statistics.add(new ElapsedTime());
    statistics.setWeight("AP", 1.0);
    statistics.setWeight("AHP", 1.0);
    Algorithms algorithms = new Algorithms();
    algorithms.add(new Pc(new FisherZ()));
    algorithms.add(new PcStableMax(new FisherZ(), false));
    Simulations simulations = new Simulations();
    simulations.add(new SemSimulation(new RandomForward()));
    Comparison comparison = new Comparison();
    comparison.setShowAlgorithmIndices(true);
    comparison.setShowSimulationIndices(true);
    comparison.setSortByUtility(true);
    comparison.setShowUtilities(true);
    comparison.setParallelized(true);
    comparison.compareFromSimulations("comparison", simulations, algorithms, statistics, parameters);
}