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📄 attributefilter.java

📁 一个数据挖掘系统的源码
💻 JAVA
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/**
 *
 *   AgentAcademy - an open source Data Mining framework for
 *   training intelligent agents
 *
 *   Copyright (C)   2001-2003 AA Consortium.
 *
 *   This library is open source software; you can redistribute it
 *   and/or modify it under the terms of the GNU Lesser General
 *   Public License as published by the Free Software Foundation;
 *   either version 2.0 of the License, or (at your option) any later
 *   version.
 *
 *   This library 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 Lesser General Public
 *   License along with this library; if not, write to the Free
 *   Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
 *   MA  02111-1307 USA
 *
 */

package org.agentacademy.modules.dataminer.filters;

/**
 * <p>Title: The Data Miner prototype</p>
 * <p>Description: A prototype for the DataMiner (DM), the Agent Academy (AA) module responsible for performing data mining on the contents of the Agent Use Repository (AUR). The extracted knowledge is to be sent back to the AUR in the form of a PMML document.</p>
 * <p>Copyright: Copyright (c) 2002</p>
 * <p>Company: CERTH</p>
 * @author asymeon
 * @version 0.3
 */

import java.util.Enumeration;
import java.util.Vector;

import org.agentacademy.modules.dataminer.core.Attribute;
import org.agentacademy.modules.dataminer.core.FastVector;
import org.agentacademy.modules.dataminer.core.Instance;
import org.agentacademy.modules.dataminer.core.Instances;
import org.agentacademy.modules.dataminer.core.Option;
import org.agentacademy.modules.dataminer.core.OptionHandler;
import org.agentacademy.modules.dataminer.core.Range;
import org.agentacademy.modules.dataminer.core.SparseInstance;
import org.agentacademy.modules.dataminer.core.Utils;

/**
 * An instance filter that deletes a range of attributes from the dataset.<p>
 *
 * Valid filter-specific options are:<p>
 *
 * -R index1,index2-index4,...<br>
 * Specify list of columns to delete. First and last are valid indexes.
 * (default none)<p>
 *
 * -V<br>
 * Invert matching sense (i.e. only keep specified columns)<p>
 *
 */
public class AttributeFilter extends Filter implements OptionHandler {

  /** Stores which columns to select as a funky range */
  protected Range m_SelectCols = new Range();

  /**
   * Stores the indexes of the selected attributes in order, once the
   * dataset is seen
   */
  protected int [] m_SelectedAttributes;

  /**
   * Contains an index of string attributes in the input format
   * that will survive the filtering process
   */
  protected int [] m_InputStringIndex;

  /**
   * Returns an enumeration describing the available options.
   *
   * @return an enumeration of all the available options.
   */
  public Enumeration listOptions() {

    Vector newVector = new Vector(2);

    newVector.addElement(new Option(
              "\tSpecify list of columns to delete. First and last are valid\n"
	      +"\tindexes. (default none)",
              "R", 1, "-R <index1,index2-index4,...>"));
    newVector.addElement(new Option(
	      "\tInvert matching sense (i.e. only keep specified columns)",
              "V", 0, "-V"));

    return newVector.elements();
  }

  /**
   * Parses a given list of options controlling the behaviour of this object.
   * Valid options are:<p>
   *
   * -R index1,index2-index4,...<br>
   * Specify list of columns to delete. First and last are valid indexes.
   * (default none)<p>
   *
   * -V<br>
   * Invert matching sense (i.e. only keep specified columns)<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 {

    String deleteList = Utils.getOption('R', options);
    if (deleteList.length() != 0) {
      setAttributeIndices(deleteList);
    }
    setInvertSelection(Utils.getFlag('V', options));

    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 [3];
    int current = 0;

    if (getInvertSelection()) {
      options[current++] = "-V";
    }
    if (!getAttributeIndices().equals("")) {
      options[current++] = "-R"; options[current++] = getAttributeIndices();
    }

    while (current < options.length) {
      options[current++] = "";
    }
    return options;
  }

  /**
   * 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 format couldn't be set successfully
   */
  public boolean setInputFormat(Instances instanceInfo) throws Exception {

    super.setInputFormat(instanceInfo);

    m_SelectCols.setUpper(instanceInfo.numAttributes() - 1);

    // Create the output buffer
    FastVector attributes = new FastVector();
    int outputClass = -1;
    m_SelectedAttributes = m_SelectCols.getSelection();
    int inStrKeepLen = 0;
    int [] inStrKeep = new int[m_SelectedAttributes.length];
    for (int i = 0; i < m_SelectedAttributes.length; i++) {
      int current = m_SelectedAttributes[i];
      if (instanceInfo.classIndex() == current) {
	outputClass = attributes.size();
      }
      Attribute keep = (Attribute)instanceInfo.attribute(current).copy();
      if (keep.type() == Attribute.STRING) {
        inStrKeep[inStrKeepLen++] = current;
      }
      attributes.addElement(keep);
    }
    m_InputStringIndex = new int [inStrKeepLen];
    System.arraycopy(inStrKeep, 0, m_InputStringIndex, 0, inStrKeepLen);
    Instances outputFormat = new Instances(instanceInfo.relationName(),
					   attributes, 0);
    outputFormat.setClassIndex(outputClass);
    setOutputFormat(outputFormat);
    return true;
  }


  /**
   * Input an instance for filtering. Ordinarily the instance is processed
   * and made available for output immediately. Some filters require all
   * 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 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;
    }

    double [] vals = new double[getOutputFormat().numAttributes()];
    for (int i = 0; i < m_SelectedAttributes.length; i++) {
      int current = m_SelectedAttributes[i];
      vals[i] = instance.value(current);
    }
    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(), m_InputStringIndex,
                     getOutputFormat(), getOutputStringIndex());
    inst.setDataset(getOutputFormat());
    push(inst);
    return true;
  }

  /**
   * Returns a string describing this filter
   *
   * @return a description of the filter suitable for
   * displaying in the explorer/experimenter gui
   */
  public String globalInfo() {

    return "An instance filter that removes a range of"
      + " attributes from the dataset.";
  }

  /**
   * Returns the tip text for this property
   *
   * @return tip text for this property suitable for
   * displaying in the explorer/experimenter gui
   */
  public String invertSelectionTipText() {

    return "Determines whether action is to select or delete."
      + " If set to true, only the specified attributes will be kept;"
      + " If set to false, specified attributes will be deleted.";
  }

  /**
   * Get whether the supplied columns are to be removed or kept
   *
   * @return true if the supplied columns will be kept
   */
  public boolean getInvertSelection() {

    return !m_SelectCols.getInvert();
  }

  /**
   * Set whether selected columns should be removed or kept. If true the
   * selected columns are kept and unselected columns are deleted. If false
   * selected columns are deleted and unselected columns are kept.
   *
   * @param invert the new invert setting
   */
  public void setInvertSelection(boolean invert) {

    m_SelectCols.setInvert(!invert);
  }

  /**
   * Returns the tip text for this property
   *
   * @return tip text for this property suitable for
   * displaying in the explorer/experimenter gui
   */
  public String attributeIndicesTipText() {

    return "Specify range of attributes to act on."
      + " This is a comma separated list of attribute indices, with"
      + " \"first\" and \"last\" valid values. Specify an inclusive"
      + " range with \"-\". E.g: \"first-3,5,6-10,last\".";
  }

  /**
   * Get the current range selection.
   *
   * @return a string containing a comma separated list of ranges
   */
  public String getAttributeIndices() {

    return m_SelectCols.getRanges();
  }

  /**
   * Set which attributes are to be deleted (or kept if invert is true)
   *
   * @param rangeList a string representing the list of attributes.  Since
   * the string will typically come from a user, attributes are indexed from
   * 1. <br>
   * eg: first-3,5,6-last
   */
  public void setAttributeIndices(String rangeList) {

    m_SelectCols.setRanges(rangeList);
  }

  /**
   * Set which attributes are to be deleted (or kept if invert is true)
   *
   * @param attributes an array containing indexes of attributes to select.
   * Since the array will typically come from a program, attributes are indexed
   * from 0.
   */
  public void setAttributeIndicesArray(int [] attributes) {

    setAttributeIndices(Range.indicesToRangeList(attributes));
  }

  /**
   * 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 AttributeFilter(), argv);
      } else {
	Filter.filterFile(new AttributeFilter(), argv);
      }
    } catch (Exception ex) {
      log.error(ex.getMessage());
    }
  }
}

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