All Downloads are FREE. Search and download functionalities are using the official Maven repository.

edu.cmu.tetradapp.model.DataStandardizer Maven / Gradle / Ivy

The newest version!
///////////////////////////////////////////////////////////////////////////////
// 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;

import edu.cmu.tetrad.data.*;
import edu.cmu.tetrad.graph.Node;
import edu.cmu.tetrad.util.Matrix;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.TetradSerializableUtils;

import java.util.List;

/**
 * Standardizes all columns in a continuous data set.
 *
 * @author josephramsey
 * @version $Id: $Id
 */
public class DataStandardizer extends DataWrapper {
    private static final long serialVersionUID = 23L;

    //=============================CONSTRUCTORS==============================//

    /**
     * 

Constructor for DataStandardizer.

* * @param wrapper a {@link edu.cmu.tetradapp.model.DataWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public DataStandardizer(DataWrapper wrapper, Parameters params) { DataModelList inList = wrapper.getDataModelList(); DataModelList outList = new DataModelList(); for (DataModel model : inList) { if (!(model instanceof DataSet dataSet)) { throw new IllegalArgumentException("Not a data set: " + model.getName()); } if (!(dataSet.isContinuous())) { throw new IllegalArgumentException("Not a continuous data set: " + dataSet.getName()); } Matrix data2 = DataTransforms.standardizeData(dataSet.getDoubleData()); List list = dataSet.getVariables(); DataSet dataSet2 = new BoxDataSet(new VerticalDoubleDataBox(data2.transpose().toArray()), list); dataSet2.setName(dataSet.getName()); outList.add(dataSet2); } setDataModel(outList); setSourceGraph(wrapper.getSourceGraph()); LogDataUtils.logDataModelList("Conversion of data to standardized form.", 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(); } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy