weka.classifiers.lazy.kstar

## Class KStarNumericAttribute

- java.lang.Object
- - weka.classifiers.lazy.kstar.KStarNumericAttribute

- All Implemented Interfaces:
    KStarConstants, RevisionHandler

      public class KStarNumericAttribute
      extends java.lang.Object
      implements KStarConstants, RevisionHandler

  A custom class which provides the environment for computing the transformation probability of a specified test instance numeric attribute to a specified train instance numeric attribute.
  Version:
    $Revision 1.0 $
  Author:
    Len Trigg (len@reeltwo.com), Abdelaziz Mahoui (am14@cs.waikato.ac.nz)

- - ### Field Summary

    - ### Fields inherited from interface weka.classifiers.lazy.kstar.KStarConstants

      `B_ENTROPY, B_SPHERE, EPSILON, FLOOR, FLOOR1, INITIAL_STEP, LOG2, M_AVERAGE, M_DELETE, M_MAXDIFF, M_NORMAL, NUM_RAND_COLS, OFF, ON, ROOT_FINDER_ACCURACY, ROOT_FINDER_MAX_ITER`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `KStarNumericAttribute(Instance test, Instance train, int attrIndex, Instances trainSet, int[][] randClassCols, KStarCache cache)` Constructor

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String` | `getRevision()` Returns the revision string.
    `void` | `setBlendFactor(int factor)` Set the blending factor
    `void` | `setBlendMethod(int method)` Set the blending method
    `void` | `setMissingMode(int mode)` Set the missing value mode.
    `void` | `setOptions(int missingmode, int blendmethod, int blendfactor)` Set options.
    `double` | `transProb()` Calculates the transformation probability of the attribute indexed "m_AttrIndex" in test instance "m_Test" to the same attribute in the train instance "m_Train".

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### KStarNumericAttribute

          public KStarNumericAttribute(Instance test,
                               Instance train,
                               int attrIndex,
                               Instances trainSet,
                               int[][] randClassCols,
                               KStarCache cache)

      Constructor

  - ### Method Detail

    - #### transProb

          public double transProb()

      Calculates the transformation probability of the attribute indexed "m_AttrIndex" in test instance "m_Test" to the same attribute in the train instance "m_Train".
      Returns:
        the probability value

    - #### setOptions

          public void setOptions(int missingmode,
                        int blendmethod,
                        int blendfactor)

      Set options.
      Parameters:
        `missingmode` - the missing value treatment to use
        `blendmethod` - the blending method to use
        `blendfactor` - the level of blending to use

    - #### setMissingMode

          public void setMissingMode(int mode)

      Set the missing value mode.
      Parameters:
        `mode` - the type of missing value treatment to use

    - #### setBlendMethod

          public void setBlendMethod(int method)

      Set the blending method
      Parameters:
        `method` - the blending method to use

    - #### setBlendFactor

          public void setBlendFactor(int factor)

      Set the blending factor
      Parameters:
        `factor` - the level of blending to use

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Returns:
        the revision