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📄 selectoperator.java

📁 一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码
💻 JAVA
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/*
 *    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.
 */

package eti.bi.alphaminer.patch.standard.operation.operator;


import java.io.File;
import java.util.Vector;

import weka.filters.unsupervised.instance.RemoveRange;
import weka.filters.unsupervised.instance.RemoveWithValues;

import com.prudsys.pdm.Core.CategoricalAttribute;
import com.prudsys.pdm.Core.MiningAttribute;
import com.prudsys.pdm.Core.MiningDataSpecification;
import com.prudsys.pdm.Core.MiningException;
import com.prudsys.pdm.Input.MiningStoredData;

import eti.bi.alphaminer.core.handler.ICaseHandler;
import eti.bi.alphaminer.core.transform.DataTransformAction;
import eti.bi.alphaminer.core.transform.WekaTransformAction;
import eti.bi.alphaminer.operation.operator.INodeInfo;
import eti.bi.alphaminer.operation.operator.Operator;
import eti.bi.alphaminer.operation.operator.TransformOperator;
import eti.bi.alphaminer.vo.BIData;
import eti.bi.alphaminer.vo.BIObject;
import eti.bi.alphaminer.vo.IBIData;
import eti.bi.alphaminer.vo.IOperatorNode;
import eti.bi.common.Locale.Resource;
import eti.bi.exception.AppException;
import eti.bi.exception.SysException;
import eti.bi.util.ValueValidator;


/**
 * SamplingOperator is a kind of Operator
 */
public class SelectOperator extends TransformOperator {

    /**
	 * 
	 */
	private static final long serialVersionUID = 1L;

	/**
	 * @param a_CaseID
	 * @param a_CaseWindow
	 * @param aOperatorInfo
	 */
	public SelectOperator(String a_CaseID, INodeInfo aNodeInfo, ICaseHandler aCaseHandler) {
		super(a_CaseID, aNodeInfo, aCaseHandler);
		// TODO Auto-generated constructor stub
	}

	public final static int BY_RANGE = 0;
    public final static int BY_VALUE = 1;
    
    private final static String CATEG = "Categorical";
    private final static String NUM = "Numeric";
    
    private int m_Mode = BY_RANGE;
    private boolean m_InvertSelection = true;
        
	/**
	 * Set node id and update operator text of the Select at the same time.
	 * @param a_NodeID ID of the node
	 */
	public void setNodeID(String a_NodeID) {
		setLabel(getDescription() + " [" + a_NodeID + "]");
		super.setNodeID(a_NodeID);
	}
	
	/**
	 * Set node id and update operator text of the Select at the same time.
	 * @param a_NodeID ID of the node
	 */
	public void setDescription(String a_Description) {
		m_Description = a_Description;
		setLabel(m_Description + " [" + m_NodeID + "]");		
	}

	/* (non-Javadoc)
	 * @see eti.bi.alphaminer.ui.operator.Operator#hasResult()
	 */
	public boolean hasResult() {
		/* Normally the operator has to check if the output data object and/or the output
		 * model object are exist by calling m_OutputBIObject.hasResult(int) by passing BIObject.DATA
		 * and BIObject.MODEL respectively. You may check both existance or either one by simple modifying
		 * the logic below.  
		 */
		if (m_OutputBIObject != null)
		{
			return (m_OutputBIObject.hasResult(BIObject.DATA));
		}else
		{
			return false;
		}	}

	/* (non-Javadoc)
	 * @see eti.bi.alphaminer.ui.operator.Operator#execute(eti.bi.alphaminer.vo.OperatorNode, java.util.Vector)
	 */

	@SuppressWarnings("unchecked")
	public void execute(IOperatorNode a_OperatorNode, Vector a_Parents)
		throws MiningException, SysException, AppException 
	{
	    /* Get input bi object from parent node */
		Operator parentOp = (Operator)a_Parents.elementAt(0);
		setInputBIObject(parentOp.getOutputBIObject());
		IBIData aInputBIData = getInputBIObject().getBIData();

		
		/* Get parameter from user input */
		validateParameters(aInputBIData.getMetaData(),a_OperatorNode, aInputBIData.getMiningStoredData());
		
		String value = (String) a_OperatorNode.getParameterValue("mode");
		 if(value !=null  && ValueValidator.isNumeric(value)){
	        m_Mode = Integer.parseInt(value );
	    }
	    
	    /* Prepare output mining data */
		BIData aOutputBIData = new BIData(getCaseID(), getNodeID());

		
		/* Execute transform */
//		MiningTransformationFactory mtf = new MiningTransformationFactory();
		Vector transformActionHistory = aInputBIData.getTransformActionHistory();
		DataTransformAction aTransformAction =null;
		MiningStoredData aOutputMiningStoredData = null;
		File tempFile = aOutputBIData.getTempFile();
		switch (m_Mode){
	        case BY_RANGE: 
	            RemoveRange removeRange = prepareRemoveRange(aInputBIData.getMetaData(),a_OperatorNode);
	           	aTransformAction = new WekaTransformAction(m_CaseID, m_NodeID, tempFile.getAbsolutePath(), removeRange);
	    		aOutputMiningStoredData = aTransformAction.transform(aInputBIData.getMiningStoredData());
	            break;
	        case BY_VALUE:
	            RemoveWithValues removeWithValues = prepareRemoveWithValues(aInputBIData.getMetaData(),a_OperatorNode);
	            aTransformAction = new WekaTransformAction(m_CaseID, m_NodeID, tempFile.getAbsolutePath(), removeWithValues);
	    		aOutputMiningStoredData = aTransformAction.transform(aInputBIData.getMiningStoredData());
	    		// For by value selection, it have to be applied in scoring and assessment data
	    		transformActionHistory.add(aTransformAction);
	    		break;
	       
	    }
		
		//if (removeWithValues.)
		
		/* Set Output Mining Data */
		aOutputBIData.setMiningStoredData(aOutputMiningStoredData);
		aOutputBIData.copyTransformActionHistory(aInputBIData.getTransformActionHistory());
//		aOutputBIData.addTransformActionHistory(aTransformAction);
//		aOutputBIData.setTargetAttribute(aInputBIData.getTargetAttribute());
		aOutputBIData.copyTargetAttribute(aInputBIData.getTargetAttribute());
		m_OutputBIObject.setBIData(aOutputBIData);	
		
		
		/* Set run time parameter value to the node object, and it would be saved to the BIML for later retrival */
		//a_OperatorNode.setParameterValue("Temporary data", aOutputBIData.getTempBIDataPath());		

		/* Write the output BIData or BIModel to temp space for operations to retrieve */
		//aOutputBIData.writeTempBIData();		
	}
	
	public RemoveWithValues prepareRemoveWithValues(MiningDataSpecification a_MetaData, IOperatorNode a_Node) throws MiningException
	{
		RemoveWithValues removeWithValues = new RemoveWithValues();
		@SuppressWarnings("unused") MiningAttribute[] attr = a_MetaData.getAttributesArray();
		
	    
		String value = null;
		
		MiningAttribute mAtt = null;
		String sourceName = null;
		int attrIndex = -1;
		double splitPoint = -1;
		boolean matchMissingValues = false;
//		boolean invertSelection = true;
		String selection = null;;
		
		sourceName = (String) a_Node.getParameterValue("target");
		mAtt = a_MetaData.getMiningAttribute(sourceName);
	    attrIndex = a_MetaData.getAttributeIndex(mAtt)+1;
		

	    value = (String) a_Node.getParameterValue("missingValue");
	    if(value.equalsIgnoreCase("true"))
	        matchMissingValues = true;
	    
	    value = (String) a_Node.getParameterValue("keep");
	    if(value.equals("false")){
	        m_InvertSelection = false;
	        matchMissingValues = !matchMissingValues;
	    }else if (value.equals("true")){
		    m_InvertSelection = true;
	    }
	    
	   
	    
		if (mAtt instanceof CategoricalAttribute) {
	        value = (String) a_Node.getParameterValue("selection");
	        selection = parseSelection(value);
	    }else {
	        value = (String) a_Node.getParameterValue("smallerThan");
	        splitPoint = Double.parseDouble(value);
	    }
		
		removeWithValues.setAttributeIndex(Integer.toString(attrIndex));
	    removeWithValues.setInvertSelection(m_InvertSelection);
	    removeWithValues.setMatchMissingValues(!matchMissingValues);
	    
	    if (mAtt instanceof CategoricalAttribute) {

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