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📄 removeuseless.java

📁 wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器
💻 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. *//* *    RemoveUseless.java *    Copyright (C) 2002 Richard Kirkby * */package weka.filters.unsupervised.attribute;import weka.filters.*;import weka.core.*;import java.util.Enumeration;import java.util.Vector;/**  * This filter removes attributes that do not vary at all or that vary too much. * All constant attributes are deleted automatically, along with any that exceed * the maximum percentage of variance parameter.<p> * * Valid filter-specific options are: <p> * * -M percentage <br> * The maximum variance allowed before an attribute will be deleted (default 100).<p> * * @author Richard Kirkby (rkirkby@cs.waikato.ac.nz) * @version $Revision: 1.1.1.1 $ */public class RemoveUseless extends Filter implements UnsupervisedFilter,						     OptionHandler {  /** The type of attribute to delete */  protected double m_maxVariancePercentage = 100;  /**   * 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 inputFormat can't be set successfully    */   public boolean setInputFormat(Instances instanceInfo) throws Exception {    super.setInputFormat(instanceInfo);    return false;  }  /**   * Input an instance for filtering.   *   * @param instance the input instance   * @return true if the filtered instance may now be   * collected with output().   */  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.   *   * @return true if there are instances pending output   */    public boolean batchFinished() throws Exception {    if (getInputFormat() == null) {      throw new IllegalStateException("No input instance format defined");    }    // do filtering here    Instances toFilter = getInputFormat();    int[] attsToDelete = new int[toFilter.numAttributes()];    int numToDelete = 0;    for(int i = 0; i < toFilter.numAttributes(); i++) {      AttributeStats stats = toFilter.attributeStats(i);      if (stats.distinctCount < 2) {	// remove constant attributes	attsToDelete[numToDelete++] = i;      } else {	// remove attributes that vary too much	double variancePercent = (double) stats.distinctCount	  / (double) stats.totalCount * 100.0;	if (variancePercent > m_maxVariancePercentage) attsToDelete[numToDelete++] = i;      }    }    int[] finalAttsToDelete = new int[numToDelete];    System.arraycopy(attsToDelete, 0, finalAttsToDelete, 0, numToDelete);        Remove attributeFilter = new Remove();    attributeFilter.setAttributeIndicesArray(finalAttsToDelete);    attributeFilter.setInvertSelection(false);    attributeFilter.setInputFormat(toFilter);        for (int i = 0; i < toFilter.numInstances(); i++) {      attributeFilter.input(toFilter.instance(i));    }    attributeFilter.batchFinished();    Instance processed;    Instances outputDataset = attributeFilter.getOutputFormat();        // restore old relation name to hide attribute filter stamp    outputDataset.setRelationName(toFilter.relationName());        setOutputFormat(outputDataset);    while ((processed = attributeFilter.output()) != null) {      processed.setDataset(outputDataset);      push(processed);    }    flushInput();    m_NewBatch = true;    return (numPendingOutput() != 0);  }  /**   * Returns an enumeration describing the available options.   *   * @return an enumeration of all the available options.   */  public Enumeration listOptions() {    Vector newVector = new Vector(1);    newVector.addElement(new Option(				    "\tMaximum variance percentage allowed (default 100)",				    "M", 1, "-M <max variance %>"));    return newVector.elements();  }  /**   * Parses the options for this object. Valid options are: <p>   *   * -M percentage <br>   * The maximum variance allowed before an attribute will be deleted (default 100).   *   * @param options the list of options as an array of strings   * @exception Exception if an option is not supported   */  public void setOptions(String[] options) throws Exception {        String mString = Utils.getOption('M', options);    if (mString.length() != 0) {      setMaximumVariancePercentageAllowed((int) Double.valueOf(mString).doubleValue());    } else {      setMaximumVariancePercentageAllowed(100.0);    }    if (getInputFormat() != null) {      setInputFormat(getInputFormat());    }  }  /**   * Gets the current settings of the filter.   *   * @return an array of strings suitable for passing to setOptions   */  public String [] getOptions() {    String [] options = new String [2];    int current = 0;    options[current++] = "-M";    options[current++] = "" + getMaximumVariancePercentageAllowed();        while (current < options.length) {      options[current++] = "";    }    return options;  }  /**   * Returns a string describing this filter   *   * @return a description of the filter suitable for   * displaying in the explorer/experimenter gui   */  public String globalInfo() {    return "Removes constant attributes, along with attributes to vary too much.";  }  /**   * Returns the tip text for this property   *   * @return tip text for this property suitable for   * displaying in the explorer/experimenter gui   */  public String maximumVariancePercentageAllowedTipText() {    return "Set the threshold for the highest variance allowed before an attribute will be deleted."      + "Specifically, if (number_of_distinct_values / total_number_of_values * 100)"      + " is greater than this value then the attribute will be removed.";  }  /**   * Sets the maximum variance attributes are allowed to have before they are   * deleted by the filter.   *   * @param maxVariance the maximum variance allowed, specified as a percentage   */  public void setMaximumVariancePercentageAllowed(double maxVariance) {        m_maxVariancePercentage = maxVariance;  }  /**   * Gets the maximum variance attributes are allowed to have before they are   * deleted by the filter.   *   * @return the maximum variance allowed, specified as a percentage   */  public double getMaximumVariancePercentageAllowed() {    return m_maxVariancePercentage;  }  /**   * 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 RemoveUseless(), argv);       } else {	Filter.filterFile(new RemoveUseless(), argv);      }    } catch (Exception ex) {      System.out.println(ex.getMessage());    }  }}

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