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// Scheines, Joseph Ramsey, and Clark Glymour.                               //
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package edu.pitt.csb.stability;

import edu.cmu.tetrad.data.CovarianceMatrix;
import edu.cmu.tetrad.data.DataSet;
import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.search.Fges;
import edu.cmu.tetrad.search.Pc;
import edu.cmu.tetrad.search.work_in_progress.IndTestMultinomialLogisticRegression;
import edu.cmu.tetrad.search.score.SemBicScore;
import edu.pitt.csb.mgm.Mgm;
import edu.pitt.csb.mgm.MixedUtils;

/**
 * Created by ajsedgewick on 9/4/15.
 */
public class SearchWrappers {
    public static class PcStableWrapper extends DataGraphSearch {
        //should be one param for the alpha level of the independance test
        public PcStableWrapper(double... params) {
            super(params);
        }

        public PcStableWrapper copy() {
            return new PcStableWrapper(this.searchParams);
        }

        public Graph search(DataSet ds) {
            IndTestMultinomialLogisticRegression indTest = new IndTestMultinomialLogisticRegression(ds, this.searchParams[0]);
            Pc pcs = new Pc(indTest);
            pcs.setStable(true);
            return pcs.search();
        }
    }

    public static class MGMWrapper extends DataGraphSearch {
        //should be array three parameters for lambdas of each edge type
        public MGMWrapper(double... params) {
            super(params);
        }

        public MGMWrapper copy() {
            return new MGMWrapper(this.searchParams);
        }

        public Graph search(DataSet ds) {
            Mgm m = new Mgm(ds, this.searchParams);
            return m.search();
        }
    }

    public static class FgesWrapper extends DataGraphSearch {
        public FgesWrapper(double... params) {
            super(params);
        }

        public FgesWrapper copy() {
            return new FgesWrapper(this.searchParams);
        }

        public Graph search(DataSet ds) {
            SemBicScore score = new SemBicScore(new CovarianceMatrix(MixedUtils.makeContinuousData(ds)));
            score.setPenaltyDiscount(this.searchParams[0]);
            Fges fg = new Fges(score);
            return fg.search();
        }
    }
}

