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📄 resultsetexamplesource.java

📁 著名的开源仿真软件yale
💻 JAVA
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/* *  YALE - Yet Another Learning Environment *  Copyright (C) 2002, 2003 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa,  *          Katharina Morik, Oliver Ritthoff *      Artificial Intelligence Unit *      Computer Science Department *      University of Dortmund *      44221 Dortmund,  Germany *  email: yale@ls8.cs.uni-dortmund.de *  web:   http://yale.cs.uni-dortmund.de/ * *  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.udo.cs.yale.operator;import edu.udo.cs.yale.operator.parameter.*;import edu.udo.cs.yale.tools.DatabaseHandler;import edu.udo.cs.yale.example.ExampleSet;import edu.udo.cs.yale.example.ExampleTable;import edu.udo.cs.yale.example.MemoryExampleTable;import edu.udo.cs.yale.example.DataRowReader;import edu.udo.cs.yale.example.ResultSetDataRowReader;import edu.udo.cs.yale.example.DataRowFactory;import edu.udo.cs.yale.example.Attribute;import java.util.List;import java.util.Iterator;import java.sql.ResultSet;import java.sql.SQLException;/** Abstract superclass for operators that provide access to an {@link ExampleSet} via a {@link ResultSet}. *  @version $Id: ResultSetExampleSource.java,v 2.4 2003/06/18 17:11:17 fischer Exp $ */public abstract class ResultSetExampleSource extends Operator {    private static final Class[] INPUT_CLASSES = {};    private static final Class[] OUTPUT_CLASSES = { ExampleSet.class };    /** Returns a {@link ResultSet}. */    public abstract ResultSet getResultSet() throws OperatorException;    /** Since the {@link ResultSet} does not provide information about possible values     *  of nominal attributes, subclasses must set these by implementing this method.      *  @param attributeList List of {@link Attribute} */    public abstract void setNominalValues(List attributeList, 					  ResultSet resultSet,					  Attribute label) throws OperatorException;    public IOObject[] apply() throws OperatorException {	int dataRowType   = getParameterAsInt("datamanagement");	ResultSet resultSet = getResultSet();	List attributeList  = null;	try {	    attributeList  = DatabaseHandler.createAttributes(resultSet);	} catch (SQLException e) {	    throw new UserError(this, e, 304, e.getMessage());	}	setNominalValues(attributeList, resultSet, find(attributeList, getParameterAsString("label_attribute")));	DataRowReader reader = new ResultSetDataRowReader(new DataRowFactory(dataRowType),							  attributeList,							  resultSet);	ExampleTable table = new MemoryExampleTable(attributeList, reader);	return new IOObject[] { createExampleSet(table) };    }    private static Attribute find(List attributeList, String name) throws OperatorException {	if (name == null) return null;	Iterator i = attributeList.iterator();	while (i.hasNext()) {	    Attribute attribute = (Attribute)i.next();	    if (attribute.getName().equals(name))		return attribute;	}	throw new UserError(null, 111, name);    }    protected ExampleSet createExampleSet(ExampleTable table) throws OperatorException {	String labelName  = getParameterAsString("label_attribute");	String weightName = getParameterAsString("weight_attribute");	String idName     = getParameterAsString("id_attribute");	Attribute label  = table.findAttribute(labelName); 	Attribute weight = table.findAttribute(weightName);	Attribute id     = table.findAttribute(idName);	return table.createCompleteExampleSet(label, null, weight, id);    }    public List getParameterTypes() {	List types = super.getParameterTypes();	types.add(new ParameterTypeString("label_attribute", "The (case sensitive) name of the label attribute"));	types.add(new ParameterTypeString("weight_attribute", "The (case sensitive) name of the weight attribute"));	types.add(new ParameterTypeString("id_attribute", "The (case sensitive) name of the id attribute"));	types.add(new ParameterTypeCategory("datamanagement", "Determines, how the data is represented internally.",					    DataRowFactory.TYPE_NAMES, DataRowFactory.TYPE_DOUBLE_ARRAY));	return types;    }    public Class[] getInputClasses() {	return INPUT_CLASSES;    }    public Class[] getOutputClasses() {	return OUTPUT_CLASSES;    }}

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