///////////////////////////////////////////////////////////////////////////////
// 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 by Peter Spirtes, Richard Scheines, Joseph   //
// Ramsey, and Clark Glymour.                                                //
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// it under the terms of the GNU General Public License as published by      //
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// GNU General Public License for more details.                              //
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package edu.pitt.csb.stability;

import edu.cmu.tetrad.data.CovarianceMatrixOnTheFly;
import edu.cmu.tetrad.data.DataSet;
import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.search.*;
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(searchParams);}

        public Graph search(DataSet ds) {
            IndTestMultinomialLogisticRegression indTest = new IndTestMultinomialLogisticRegression(ds, searchParams[0]);
            PcStable pcs = new PcStable(indTest);
            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(searchParams);};

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

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

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

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

