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///////////////////////////////////////////////////////////////////////////////
// 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.                               //
//                                                                           //
// 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      //
// the Free Software Foundation; either version 2 of the License, or         //
// (at your option) any later version.                                       //
//                                                                           //
// This program is distributed in the hope that it will be useful,           //
// but WITHOUT ANY WARRANTY; without even the implied warranty of            //
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the             //
// GNU General Public License for more details.                              //
//                                                                           //
// You should have received a copy of the GNU General Public License         //
// along with this program; if not, write to the Free Software               //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
///////////////////////////////////////////////////////////////////////////////

package edu.cmu.tetradapp.model.datamanip;

import edu.cmu.tetrad.data.*;
import edu.cmu.tetrad.search.utils.TsUtils;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.TetradSerializableUtils;
import edu.cmu.tetradapp.model.DataWrapper;
import edu.cmu.tetradapp.model.PcRunner;

import java.io.Serial;

/**
 * 

TimeSeriesWrapper class.

* * @author Tyler * @version $Id: $Id */ public class TimeSeriesWrapper extends DataWrapper implements KnowledgeTransferable { @Serial private static final long serialVersionUID = 23L; /** * The knowledge. */ @SuppressWarnings("FieldCanBeLocal") private Knowledge knowledge = new Knowledge(); /** * Constructs a new time series dataset. * * @param data - Previous data (from the parent node) * @param params - The parameters. */ public TimeSeriesWrapper(DataWrapper data, Parameters params) { DataModelList dataSets = data.getDataModelList(); DataModelList timeSeriesDataSets = new DataModelList(); for (DataModel dataModel : dataSets) { if (!(dataModel instanceof DataSet dataSet)) { throw new IllegalArgumentException("Only tabular data sets can be converted to time lagged form."); } DataSet timeSeries = TsUtils.createLagData(dataSet, params.getInt("numTimeLags", 1)); if (dataSet.getName() != null) { timeSeries.setName(dataSet.getName()); } this.knowledge = timeSeries.getKnowledge(); timeSeriesDataSets.add(timeSeries); } this.setDataModel(timeSeriesDataSets); this.setSourceGraph(data.getSourceGraph()); LogDataUtils.logDataModelList("Expansion of parent data into lagged data.", getDataModelList()); } /** * Generates a simple exemplar of this class to test serialization. * * @return a {@link edu.cmu.tetradapp.model.PcRunner} object * @see TetradSerializableUtils */ public static PcRunner serializableInstance() { return PcRunner.serializableInstance(); } }




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