content: /*
   *    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.
   */
  
  /*
   *    AttributeStats.java
   *    Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
   *
   */
  
  package weka.core;
  
  import java.io.Serializable;
  
  /**
   * A Utility class that contains summary information on an
   * the values that appear in a dataset for a particular attribute.
   *
   * @author <a href="mailto:len@reeltwo.com">Len Trigg</a>
   * @version $Revision: 5296 $
   */
  public class AttributeStats
    implements Serializable, RevisionHandler {
  
    /** for serialization */
    private static final long serialVersionUID = 4434688832743939380L;
    
    /** The number of int-like values */
    public int intCount = 0;
    
    /** The number of real-like values (i.e. have a fractional part) */
    public int realCount = 0;
    
    /** The number of missing values */
    public int missingCount = 0;
    
    /** The number of distinct values */
    public int distinctCount = 0;
    
    /** The number of values that only appear once */
    public int uniqueCount = 0;
    
    /** The total number of values (i.e. number of instances) */
    public int totalCount = 0;
    
    /** Stats on numeric value distributions */
    // perhaps Stats should be moved from weka.experiment to weka.core
    public weka.experiment.Stats numericStats;
    
    /** Counts of each nominal value */
    public int [] nominalCounts;
    
    /** Weight mass for each nominal value */
    public double[] nominalWeights;
      
    /**
     * Updates the counters for one more observed distinct value.
     *
     * @param value the value that has just been seen
     * @param count the number of times the value appeared
     * @param weight the weight mass of the value
     */
    protected void addDistinct(double value, int count, double weight) {
      
      if (count > 0) {
        if (count == 1) {
  	uniqueCount++;
  	}
        if (Utils.eq(value, (double)((int)value))) {
  	intCount += count;
        } else {
  	realCount += count;
        }
        if (nominalCounts != null) {
  	nominalCounts[(int)value] = count;
  	nominalWeights[(int)value] = weight;
        }
        if (numericStats != null) {
  	  //numericStats.add(value, count);
            numericStats.add(value, weight);
  	  numericStats.calculateDerived();
        }
      }
      distinctCount++;
    }
  
    /**
     * Returns a human readable representation of this AttributeStats instance.
     *
     * @return a String represtinging these AttributeStats.
     */
    public String toString() {
  
      StringBuffer sb = new StringBuffer();
      sb.append(Utils.padLeft("Type", 4)).append(Utils.padLeft("Nom", 5));
      sb.append(Utils.padLeft("Int", 5)).append(Utils.padLeft("Real", 5));
      sb.append(Utils.padLeft("Missing", 12));
      sb.append(Utils.padLeft("Unique", 12));
      sb.append(Utils.padLeft("Dist", 6));
      if (nominalCounts != null) {
        sb.append(' ');
        for (int i = 0; i < nominalCounts.length; i++) {
          sb.append(Utils.padLeft("C[" + i + "]", 5));
        }
      }
      sb.append('\n');
  
      long percent;
      percent = Math.round(100.0 * intCount / totalCount);
      if (nominalCounts != null) {
        sb.append(Utils.padLeft("Nom", 4)).append(' ');
        sb.append(Utils.padLeft("" + percent, 3)).append("% ");
        sb.append(Utils.padLeft("" + 0, 3)).append("% ");
      } else {
        sb.append(Utils.padLeft("Num", 4)).append(' ');
        sb.append(Utils.padLeft("" + 0, 3)).append("% ");
        sb.append(Utils.padLeft("" + percent, 3)).append("% ");
      }
      percent = Math.round(100.0 * realCount / totalCount);
      sb.append(Utils.padLeft("" + percent, 3)).append("% ");
      sb.append(Utils.padLeft("" + missingCount, 5)).append(" /");
      percent = Math.round(100.0 * missingCount / totalCount);
      sb.append(Utils.padLeft("" + percent, 3)).append("% ");
      sb.append(Utils.padLeft("" + uniqueCount, 5)).append(" /");
      percent = Math.round(100.0 * uniqueCount / totalCount);
      sb.append(Utils.padLeft("" + percent, 3)).append("% ");
      sb.append(Utils.padLeft("" + distinctCount, 5)).append(' ');
      if (nominalCounts != null) {
        for (int i = 0; i < nominalCounts.length; i++) {
          sb.append(Utils.padLeft("" + nominalCounts[i], 5));
        }
      }
      sb.append('\n');
      return sb.toString();
    }
    
    /**
     * Returns the revision string.
     * 
     * @return		the revision
     */
    public String getRevision() {
      return RevisionUtils.extract("$Revision: 5296 $");
    }
  }
  