localxelopesserviceimpl.java

一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码

/*
 *    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., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

 /**
  * Title: XELOPES Data Mining Library
  * Description: The XELOPES library is an open platform-independent and data-source-independent library for Embedded Data Mining.
  * Copyright: Copyright (c) 2002 Prudential Systems Software GmbH
  * Company: ZSoft (www.zsoft.ru), Prudsys (www.prudsys.com)
  * @author Valentine Stepanenko ([e-mail])
  * @author Victor Borichev
  * @version 1.1
  */

package com.prudsys.pdm.Adapters.ServiceAPI;

import java.util.Vector;

import com.prudsys.pdm.Core.MiningAlgorithm;
import com.prudsys.pdm.Core.MiningAlgorithmParameter;
import com.prudsys.pdm.Core.MiningAlgorithmSpecification;
import com.prudsys.pdm.Core.MiningDataSpecification;
import com.prudsys.pdm.Core.MiningException;
import com.prudsys.pdm.Core.MiningModel;
import com.prudsys.pdm.Core.MiningSettings;
import com.prudsys.pdm.Input.MiningInputStream;
import com.prudsys.pdm.Utils.GeneralUtils;

 /**
  * Implements LocalXelopesService interface.
  *
  * @see XelopesService
  */
public class LocalXelopesServiceImpl extends XelopesServiceImpl implements LocalXelopesService{

   /**
    * Builds mining model by the service and returns the model for futher use.
    *
    * @param algorithmName algorithm name
    * @param parameters algorithm parameters
    * @param source mining input stream of data source
    * @return mining model
    * @throws MiningException cannot build model
    */
   public MiningModel buildModelService(String algorithmName, ServiceAlgorithmParameter[] parameters,
                                   MiningInputStream source) throws MiningException {

     MiningModel model = null;
     try {
       // Get Mining Agorithm Specification:
       MiningAlgorithmSpecification mas = MiningAlgorithmSpecification.getMiningAlgorithmSpecification(algorithmName,null);

       // Create mining algorithm:
       String className = mas.getClassname();
       if( className == null )
         throw new MiningException( "algorithm classname attribute expected." );
       MiningAlgorithm algorithm = GeneralUtils.createMiningAlgorithmInstance(className);

       // Split parameters by domain:
       int npar = 0;
       if (parameters != null) npar = parameters.length;
       Vector<ServiceAlgorithmParameter> msvec  = new Vector<ServiceAlgorithmParameter>();
       Vector<ServiceAlgorithmParameter> masvec = new Vector<ServiceAlgorithmParameter>();
       for (int i = 0; i < npar; i++) {
         if (parameters[i].getDomain() == 0)
           msvec.addElement(parameters[i]);
         else
         if (parameters[i].getDomain() == 1)
           masvec.addElement(parameters[i]);
       };
       int nMsPar = msvec.size();
       ServiceAlgorithmParameter[] msPar = new ServiceAlgorithmParameter[nMsPar];
       for (int i = 0; i < nMsPar; i++)
         msPar[i] = msvec.elementAt(i);
       int nMasPar = masvec.size();
       ServiceAlgorithmParameter[] masPar = new ServiceAlgorithmParameter[nMasPar];
       for (int i = 0; i < nMasPar; i++)
         masPar[i] = masvec.elementAt(i);

       // Open data source and get metadata:
       MiningInputStream inputData      = source;
       MiningDataSpecification metaData = inputData.getMetaData();

       // Get mining settings:
       MiningSettings settings = algorithm.createMiningSettings();
       settings.setDataSpecification(metaData);
       LookupService.buildMiningSettingsFromAlgorithmParam(settings, msPar);
       settings.verifySettings();

       // Get mining algorithm specification:
       MiningAlgorithmParameter[] params = mas.getInputAttribute();
       int nParams = 0;
       if (params != null) nParams = params.length;
       for (int i = 0; i < nMasPar; i++)
         for (int j = 0; j < nParams; j++)
           if ( params[j].getName().equals( masPar[i].getName() ) )
             params[j].setValue( masPar[i].getValue() );
       GeneralUtils.displayMiningAlgSpecParameters( mas );

       // Put it all together:
       algorithm.setMiningInputStream( inputData );
       algorithm.setMiningSettings( settings );
       algorithm.setMiningAlgorithmSpecification( mas );
       algorithm.verify();

       // Build the mining model:
       model = algorithm.buildModel();

       // Close input stream:
       try {
         inputData.close();
       }
       catch (Exception ex) {
       };
     }
     catch(Exception ex) {
       throw new MiningException("Can't run algorithm:\n" + getExceptionInfo(ex));
     };

     return model;
   }


}