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📄 emptyattributefilter.java

📁 :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序
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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. *//* *    EmptyAttributeFilter.java *    Copyright (C) 2000 Intelligenesis Corp. * */package weka.filters;import weka.core.Instances;import weka.core.Instance;import weka.core.FastVector;import weka.core.SparseInstance;import weka.core.Utils;/**  * Removes all attributes that do not contain more than one distinct * value.  This determination is made based on the first batch of * instances seen. If an attribute contains one distinct value and * missing values, this is still taken as being empty. * * @author Stuart Inglis (stuart@intelligenesis.net) * @version $Revision: 1.7 $  */public class EmptyAttributeFilter extends Filter {  /** The minimum values for numeric attributes. */  private double [] m_MinArray;    /** The maximum values for numeric attributes. */  private double [] m_MaxArray;  /** An array of attribute indices that shall be kept. */  private boolean [] m_Keep;  /**   * Sets the format of the input instances.   *   * @param instanceInfo an Instances object containing the input    * instance structure (any instances contained in the object are    * ignored - only the structure is required).   * @return true if the outputFormat may be collected immediately   * @exception Exception if the input format can't be set    * successfully   */  public boolean setInputFormat(Instances instanceInfo)        throws Exception {    super.setInputFormat(instanceInfo);    m_MinArray = m_MaxArray = null;    return false;  }  /**   * Input an instance for filtering. Filter requires all   * training instances be read before producing output.   *   * @param instance the input instance   * @return true if the filtered instance may now be   * collected with output().   * @exception IllegalStateException if no input format has been defined.   */  public boolean input(Instance instance) {    if (getInputFormat() == null) {      throw new IllegalStateException("No input instance format defined");    }    if (m_NewBatch) {      resetQueue();      m_NewBatch = false;    }        bufferInput(instance);    return false;  }  /**   * Signify that this batch of input to the filter is finished.    * If the filter requires all instances prior to filtering,   * output() may now be called to retrieve the filtered instances.   *   * @return true if there are instances pending output   * @exception IllegalStateException if no input structure has been defined   */  public boolean batchFinished() {    if (getInputFormat() == null) {      throw new IllegalStateException("No input instance format defined");    }    if (m_MinArray == null) {         // Compute minimums and maximums      Instances in = getInputFormat();      m_MinArray = new double[in.numAttributes()];      m_MaxArray = new double[in.numAttributes()];      m_Keep = new boolean[in.numAttributes()];      for (int i = 0; i < in.numAttributes(); i++) {	m_MinArray[i] = Double.NaN;      }      for (int j = 0; j < in.numInstances(); j++) {	double [] value = in.instance(j).toDoubleArray();	for (int i = 0; i < in.numAttributes(); i++) {          if (!in.attribute(i).isString() &&              !Instance.isMissingValue(value[i])) {            if (Double.isNaN(m_MinArray[i])) {              m_MinArray[i] = m_MaxArray[i] = value[i];            } else {              if (value[i] < m_MinArray[i]) {                m_MinArray[i] = value[i];              }              if (value[i] > m_MaxArray[i]) {                m_MaxArray[i] = value[i];              }            }	  }	}       }      FastVector attributes = new FastVector();      for (int i = 0; i < in.numAttributes(); i++) {        if (in.attribute(i).isString() ||             (m_MinArray[i] < m_MaxArray[i])) {          attributes.addElement(in.attribute(i).copy());          m_Keep[i] = true;        }      }      Instances outputFormat = new Instances(in.relationName(),					     attributes, 0);       setOutputFormat(outputFormat);      // Convert pending input instances      for(int i = 0; i < in.numInstances(); i++) {	convertInstance(in.instance(i));      }      // Free memory      flushInput();    }     m_NewBatch = true;    return (numPendingOutput() != 0);  }  /**   * Convert a single instance over. The converted instance is    * added to the end of the output queue.   *   * @param instance the instance to convert   */  private void convertInstance(Instance instance) {      int index = 0;    double [] vals = new double [outputFormatPeek().numAttributes()];    for(int i = 0; i < getInputFormat().numAttributes(); i++) {      if (m_Keep[i]) {        if (instance.isMissing(i)) {          vals[index] = Instance.missingValue();        } else {          vals[index] = instance.value(i);        }        index++;      }    }    Instance inst = null;    if (instance instanceof SparseInstance) {      inst = new SparseInstance(instance.weight(), vals);    } else {      inst = new Instance(instance.weight(), vals);    }    copyStringValues(inst, false, instance.dataset(), getInputStringIndex(),                     getOutputFormat(), getOutputStringIndex());    inst.setDataset(getOutputFormat());    push(inst);  }  /**   * Main method for testing this class.   *   * @param argv should contain arguments to the filter:    * use -h for help   */  public static void main(String [] argv) {    try {      if (Utils.getFlag('b', argv)) { 	Filter.batchFilterFile(new EmptyAttributeFilter(), argv);      } else {	Filter.filterFile(new EmptyAttributeFilter(), argv);      }    } catch (Exception ex) {	//	ex.printStackTrace();      System.out.println(ex.getMessage());    }  }}

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