weka.classifiers.lazy.kstar
Class KStarNominalAttribute
java.lang.Object
weka.classifiers.lazy.kstar.KStarNominalAttribute
- All Implemented Interfaces:
- KStarConstants
- public class KStarNominalAttribute
- extends java.lang.Object
- implements KStarConstants
A custom class which provides the environment for computing the
transformation probability of a specified test instance nominal
attribute to a specified train instance nominal attribute.
- Version:
- $Revision 1.0 $
- Author:
- Len Trigg (len@reeltwo.com), Abdelaziz Mahoui (am14@cs.waikato.ac.nz)
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 |
Method Summary |
void |
setOptions(int missingmode,
int blendmethod,
int blendfactor)
Sets the options. |
double |
transProb()
Calculates the probability of the indexed nominal attribute of the test
instance transforming into the indexed nominal attribute of the training
instance. |
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
KStarNominalAttribute
public KStarNominalAttribute(Instance test,
Instance train,
int attrIndex,
Instances trainSet,
int[][] randClassCol,
KStarCache cache)
- Constructor
transProb
public double transProb()
- Calculates the probability of the indexed nominal attribute of the test
instance transforming into the indexed nominal attribute of the training
instance.
- Returns:
- the value of the transformation probability.
setOptions
public void setOptions(int missingmode,
int blendmethod,
int blendfactor)
- Sets the options.