evaluationmatrix.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.
 */

/*
 * Created on 2005-1-27
 *
 * TODO To change the template for this generated file go to
 * Window - Preferences - Java - Code Style - Code Templates
 */
package eti.bi.alphaminer.patch.standard.operation.operator;

/**
 * @author fxu
 *
 * TODO To change the template for this generated type comment go to
 * Window - Preferences - Java - Code Style - Code Templates
 */
public class EvaluationMatrix {	
	private String 		m_ModelName;
	private String 		m_DataName;
	private String[] 	m_ClassNames;
	private String[] 	m_StatisticsNames;
	private double[][] 	m_ConfusionMatrixElements;
	private double[][] 	m_StatisticsMatrixElements;
	private double		m_OverallPrecision;
	private int 		m_ClassNumber;
	private int 		m_StatisticsQuantityNumber;
	
	public EvaluationMatrix(){
		
	}
	
	public EvaluationMatrix(String modelName,
	  						   String dataName,
							   String [] classNames,
	  						   String [] statisticsNames){	
	  	m_ModelName = modelName;
	    m_DataName 	= dataName;
	    m_ClassNames = (String [])classNames.clone();
	    m_StatisticsNames = (String [])statisticsNames.clone();
	    m_ClassNumber = m_ClassNames.length;
	    m_StatisticsQuantityNumber = m_StatisticsNames.length;
	    
	    if(m_ClassNumber > 0){
	    	m_ConfusionMatrixElements = new double[m_ClassNumber][m_ClassNumber];
	    }
	    
	    if(m_ClassNumber > 0 && m_StatisticsQuantityNumber > 0){
	    	m_StatisticsMatrixElements = new double[m_ClassNumber][m_StatisticsQuantityNumber];
	    }	
	    
	    m_OverallPrecision = -1;
	  }
	  /**
	 * @return Returns the m_ClassNames.
	 */
	public String[] getM_ClassNames() {
		return m_ClassNames;
	}
	/**
	 * @param classNames The m_ClassNames to set.
	 */
	public void setM_ClassNames(String[] classNames) {
		m_ClassNames = classNames;
	}
	/**
	 * @return Returns the m_ConfusionMatrixElements.
	 */
	public double[][] getM_ConfusionMatrixElements() {
		return m_ConfusionMatrixElements;
	}
	/**
	 * @param confusionMatrixElements The m_ConfusionMatrixElements to set.
	 */
	public void setM_ConfusionMatrixElements(double[][] confusionMatrixElements) {
		m_ConfusionMatrixElements = confusionMatrixElements;
	}
	/**
	 * @return Returns the m_DataName.
	 */
	public String getM_DataName() {
		return m_DataName;
	}
	/**
	 * @param dataName The m_DataName to set.
	 */
	public void setM_DataName(String dataName) {
		m_DataName = dataName;
	}
	/**
	 * @return Returns the m_ModelName.
	 */
	public String getM_ModelName() {
		return m_ModelName;
	}
	/**
	 * @param modelName The m_ModelName to set.
	 */
	public void setM_ModelName(String modelName) {
		m_ModelName = modelName;
	}
	/**
	 * @return Returns the m_StatisticsMatrixElements.
	 */
	public double[][] getM_StatisticsMatrixElements() {
		return m_StatisticsMatrixElements;
	}
	/**
	 * @param statisticsMatrixElements The m_StatisticsMatrixElements to set.
	 */
	public void setM_StatisticsMatrixElements(
			double[][] statisticsMatrixElements) {
		m_StatisticsMatrixElements = statisticsMatrixElements;
	}
	/**
	 * @return Returns the m_StatisticsNames.
	 */
	public String[] getM_StatisticsNames() {
		return m_StatisticsNames;
	}
	/**
	 * @param statisticsNames The m_StatisticsNames to set.
	 */
	public void setM_StatisticsNames(String[] statisticsNames) {
		m_StatisticsNames = statisticsNames;
	}
	/**
	 * @return Returns the m_OverallPrecision.
	 */
	public double getM_OverallPrecision() {
		return m_OverallPrecision;
	}
	/**
	 * @param overallPrecision The m_OverallPrecision to set.
	 */
	public void setM_OverallPrecision(double overallPrecision) {
		m_OverallPrecision = overallPrecision;
	}
}