use of edu.cmu.tetrad.algcomparison.algorithm.external.ExternalAlgorithmTetrad in project tetrad by cmu-phil.
the class CompareExternalAlgorithms method main.
public static void main(String... args) {
Parameters parameters = new Parameters();
parameters.set("numRuns", 10);
Statistics statistics = new Statistics();
statistics.add(new ParameterColumn("numMeasures"));
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 F1Adj());
statistics.add(new F1Arrow());
statistics.add(new F1All());
statistics.add(new ElapsedTime());
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 ExternalAlgorithmTetrad("PC_(\"Peter_and_Clark\"),_Priority_Rule,_using_Fisher_Z_test,_alpha_=_0.001"));
algorithms.add(new ExternalAlgorithmPcalgPc("PC_pcalg_defaults_alpha_=_0.001"));
algorithms.add(new ExternalAlgorithmBNTPc("learn_struct_pdag_pc_alpha_=_0.001"));
Comparison comparison = new Comparison();
comparison.setShowAlgorithmIndices(true);
comparison.setShowSimulationIndices(true);
comparison.setSortByUtility(false);
comparison.setShowUtilities(false);
comparison.setParallelized(false);
comparison.generateReportFromExternalAlgorithms("/Users/user/comparison-data/condition_1", "/Users/user/causal-comparisons/condition_1", algorithms, statistics, parameters);
}
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