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📄 randomize.java

📁 代码是一个分类器的实现,其中使用了部分weka的源代码。可以将项目导入eclipse运行
💻 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. *//* *    Randomize.java *    Copyright (C) 1999 Len Trigg * */package weka.filters.unsupervised.instance;import weka.core.Capabilities;import weka.core.Instance;import weka.core.Instances;import weka.core.Option;import weka.core.OptionHandler;import weka.core.Utils;import weka.core.Capabilities.Capability;import weka.filters.Filter;import weka.filters.UnsupervisedFilter;import java.util.Enumeration;import java.util.Random;import java.util.Vector;/**  <!-- globalinfo-start --> * Randomly shuffles the order of instances passed through it. The random number generator is reset with the seed value whenever a new set of instances is passed in. * <p/> <!-- globalinfo-end --> *  <!-- options-start --> * Valid options are: <p/> *  * <pre> -S &lt;num&gt; *  Specify the random number seed (default 42)</pre> *  <!-- options-end --> * * @author Len Trigg (trigg@cs.waikato.ac.nz) * @version $Revision: 1.5 $ */public class Randomize   extends Filter   implements UnsupervisedFilter, OptionHandler {    /** for serialization */  static final long serialVersionUID = 8854479785121877582L;  /** The random number seed */  protected int m_Seed = 42;  /** The current random number generator */  protected Random m_Random;    /**   * Returns a string describing this classifier   * @return a description of the classifier suitable for   * displaying in the explorer/experimenter gui   */  public String globalInfo() {    return "Randomly shuffles the order of instances passed through it. "      + "The random number generator is reset with the seed value whenever "      + "a new set of instances is passed in.";  }  /**   * 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(              "\tSpecify the random number seed (default 42)",              "S", 1, "-S <num>"));    return newVector.elements();  }  /**   * Parses a given list of options. <p/>   *    <!-- options-start -->   * Valid options are: <p/>   *    * <pre> -S &lt;num&gt;   *  Specify the random number seed (default 42)</pre>   *    <!-- options-end -->   *   * @param options the list of options as an array of strings   * @throws Exception if an option is not supported   */  public void setOptions(String[] options) throws Exception {        String seedString = Utils.getOption('S', options);    if (seedString.length() != 0) {      setRandomSeed(Integer.parseInt(seedString));    } else {      setRandomSeed(42);    }    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++] = "-S"; options[current++] = "" + getRandomSeed();    while (current < options.length) {      options[current++] = "";    }    return options;  }  /**   * Returns the tip text for this property   * @return tip text for this property suitable for   * displaying in the explorer/experimenter gui   */  public String randomSeedTipText() {    return "Seed for the random number generator.";  }  /**   * Get the random number generator seed value.   *   * @return random number generator seed value.   */  public int getRandomSeed() {        return m_Seed;  }    /**   * Set the random number generator seed value.   *   * @param newRandomSeed value to use as the random number generator seed.   */  public void setRandomSeed(int newRandomSeed) {        m_Seed = newRandomSeed;  }  /**    * Returns the Capabilities of this filter.   *   * @return            the capabilities of this object   * @see               Capabilities   */  public Capabilities getCapabilities() {    Capabilities result = super.getCapabilities();    // attributes    result.enableAllAttributes();    result.enable(Capability.MISSING_VALUES);        // class    result.enableAllClasses();    result.enable(Capability.MISSING_CLASS_VALUES);    result.enable(Capability.NO_CLASS);        return result;  }    /**   * 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   * @throws Exception if format cannot be processed   */  public boolean setInputFormat(Instances instanceInfo) throws Exception {    super.setInputFormat(instanceInfo);    setOutputFormat(instanceInfo);    m_Random = new Random(m_Seed);    return true;  }  /**   * 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().   * @throws IllegalStateException if no input structure 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;    }    if (isFirstBatchDone()) {      push(instance);      return true;    } else {      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. Any   * subsequent instances filtered should be filtered based on setting   * obtained from the first batch (unless the setInputFormat has been   * re-assigned or new options have been set). This    * implementation randomizes all the instances received in the batch.   *   * @return true if there are instances pending output   * @throws IllegalStateException if no input format has been set.    */  public boolean batchFinished() {    if (getInputFormat() == null) {      throw new IllegalStateException("No input instance format defined");    }    if (!isFirstBatchDone()) {      getInputFormat().randomize(m_Random);    }    for (int i = 0; i < getInputFormat().numInstances(); i++) {      push(getInputFormat().instance(i));    }    flushInput();        m_NewBatch = true;    m_FirstBatchDone = true;    return (numPendingOutput() != 0);  }  /**   * Main method for testing this class.   *   * @param argv should contain arguments to the filter: use -h for help   */  public static void main(String [] argv) {    runFilter(new Randomize(), argv);  }}

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