weka.classifiers.lazy.kstar.KStarConstants Maven / Gradle / Ivy

Show more of this group Show more artifacts with this name
Show all versions of weka-stable Show documentation

The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other updates.

There is a newer version: 3.8.6

Show newest version

/*
 *   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 3 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, see .
 */

/**
 *    KStarConstants.java
 *    Copyright (C) 1995-2012 Univeristy of Waikato
 *    Java port to Weka by Abdelaziz Mahoui ([email protected]).
 *
 */


package weka.classifiers.lazy.kstar;

/**
 * @author Len Trigg ([email protected])
 * @author Abdelaziz Mahoui ([email protected])
 * @version $Revision 1.0 $
 */
public interface KStarConstants {

  /** Some usefull constants */
  int    ON            = 1;
  int    OFF           = 0;
  int    NUM_RAND_COLS = 5;
  double FLOOR         = 0.0;
  double FLOOR1        = 0.1;
  double INITIAL_STEP  = 0.05;
  double LOG2          = 0.693147181;
  double EPSILON       = 1.0e-5;

  /** How close the root finder for numeric and nominal have to get */
  int    ROOT_FINDER_MAX_ITER = 40;
  double ROOT_FINDER_ACCURACY = 0.01;

  /** Blend setting modes */
  int B_SPHERE  = 1; /* Use sphere of influence */
  int B_ENTROPY = 2; /* Use entropic blend setting */

  /** Missing value handling mode */

  /* Ignore the instance with the missing value */
  int M_DELETE  = 1; 
  /* Treat missing values as maximally different */
  int M_MAXDIFF = 2; 
  /* Normilize over the attributes */
  int M_NORMAL  = 3; 
  /* Average column entropy curves */
  int M_AVERAGE = 4; 
  
}