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📄 pkidiscretize.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. *//* *    PKIDiscretize.java *    Copyright (C) 2003 Richard Kirkby * */package weka.filters.unsupervised.attribute;import weka.filters.*;import weka.core.*;import java.util.*;/** * Discretizes numeric attributes using equal frequency binning where the * number of bins is equal to the square root of the number of non-missing * values.<p> * * Valid filter-specific options are: <p> * * -R col1,col2-col4,... <br> * Specifies list of columns to Discretize. First * and last are valid indexes. (default: first-last) <p> * * -V <br> * Invert matching sense.<p> * * -D <br> * Make binary nominal attributes. <p> *  * @author Richard Kirkby (rkirkby@cs.waikato.ac.nz) * @version $Revision: 1.1.1.1 $ */public class PKIDiscretize extends Discretize {  /**   * 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 {    // alter child behaviour to do what we want    m_FindNumBins = true;    return super.setInputFormat(instanceInfo);  }  /**   * Finds the number of bins to use and creates the cut points.   *   * @param index the attribute index   */  protected void findNumBins(int index) {    Instances toFilter = getInputFormat();    // Find number of instances for attribute where not missing    int numOfInstances = toFilter.numInstances();    for (int i = 0; i < toFilter.numInstances(); i++) {      if (toFilter.instance(i).isMissing(index))	numOfInstances--;    }    m_NumBins = (int)(Math.sqrt(numOfInstances));    if (m_NumBins > 0) {      calculateCutPointsByEqualFrequencyBinning(index);    }  }  /**   * Gets an enumeration describing the available options.   *   * @return an enumeration of all the available options.   */  public Enumeration listOptions() {    Vector newVector = new Vector(7);    newVector.addElement(new Option(              "\tSpecifies list of columns to Discretize. First"	      + " and last are valid indexes.\n"	      + "\t(default: first-last)",              "R", 1, "-R <col1,col2-col4,...>"));    newVector.addElement(new Option(              "\tInvert matching sense of column indexes.",              "V", 0, "-V"));    newVector.addElement(new Option(              "\tOutput binary attributes for discretized attributes.",              "D", 0, "-D"));    return newVector.elements();  }  /**   * Parses the options for this object. Valid options are: <p>   *   * -R col1,col2-col4,... <br>   * Specifies list of columns to Discretize. First   * and last are valid indexes. (default none) <p>   *   * -V <br>   * Invert matching sense.<p>   *   * -D <br>   * Make binary nominal attributes. <p>   *    * @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 {    setMakeBinary(Utils.getFlag('D', options));    setInvertSelection(Utils.getFlag('V', options));        String convertList = Utils.getOption('R', options);    if (convertList.length() != 0) {      setAttributeIndices(convertList);    } else {      setAttributeIndices("first-last");    }    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 [12];    int current = 0;    if (getMakeBinary()) {      options[current++] = "-D";    }    if (getInvertSelection()) {      options[current++] = "-V";    }    if (!getAttributeIndices().equals("")) {      options[current++] = "-R"; options[current++] = getAttributeIndices();    }    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 "Discretizes numeric attributes using equal frequency binning,"      + " where the number of bins is equal to the square root of the"      + " number of non-missing values.";  }    /**   * Returns the tip text for this property   *   * @return tip text for this property suitable for   * displaying in the explorer/experimenter gui   */  public String findNumBinsTipText() {    return "Ignored.";  }  /**   * Get the value of FindNumBins.   *   * @return Value of FindNumBins.   */  public boolean getFindNumBins() {        return false;  }    /**   * Set the value of FindNumBins.   *   * @param newFindNumBins Value to assign to FindNumBins.   */  public void setFindNumBins(boolean newFindNumBins) {      }    /**   * Returns the tip text for this property   *   * @return tip text for this property suitable for   * displaying in the explorer/experimenter gui   */  public String useEqualFrequencyTipText() {    return "Always true.";  }  /**   * Get the value of UseEqualFrequency.   *   * @return Value of UseEqualFrequency.   */  public boolean getUseEqualFrequency() {        return true;  }    /**   * Set the value of UseEqualFrequency.   *   * @param newUseEqualFrequency Value to assign to UseEqualFrequency.   */  public void setUseEqualFrequency(boolean newUseEqualFrequency) {      }  /**   * Returns the tip text for this property   *   * @return tip text for this property suitable for   * displaying in the explorer/experimenter gui   */  public String binsTipText() {    return "Ignored.";  }  /**   * Ignored   *   * @return the number of bins.   */  public int getBins() {    return 0;  }  /**   * Ignored   *   * @param numBins the number of bins   */  public void setBins(int numBins) {  }  /**   * 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 PKIDiscretize(), argv);      } else {	Filter.filterFile(new PKIDiscretize(), argv);      }    } catch (Exception ex) {      System.out.println(ex.getMessage());    }  }}

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