|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||
java.lang.Objectweka.classifiers.lazy.kstar.KStarNominalAttribute
public class KStarNominalAttribute
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.
| 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 | |
|---|---|
KStarNominalAttribute(Instance test,
Instance train,
int attrIndex,
Instances trainSet,
int[][] randClassCol,
KStarCache cache)
Constructor |
|
| Method Summary | |
|---|---|
java.lang.String |
getRevision()
Returns the revision string. |
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 |
| Constructor Detail |
|---|
public KStarNominalAttribute(Instance test,
Instance train,
int attrIndex,
Instances trainSet,
int[][] randClassCol,
KStarCache cache)
| Method Detail |
|---|
public double transProb()
public void setOptions(int missingmode,
int blendmethod,
int blendfactor)
public java.lang.String getRevision()
getRevision in interface RevisionHandler
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | |||||||||