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java.lang.Objectweka.classifiers.rules.Rule
weka.classifiers.rules.JRip.RipperRule
public class JRip.RipperRule
This class implements a single rule that predicts specified class. A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification. In this class, the Information Gain (p*[log(p/t) - log(P/T)]) is used to select an antecedent and Reduced Error Prunning (REP) with the metric of accuracy rate p/(p+n) or (TP+TN)/(P+N) is used to prune the rule.
Constructor Summary | |
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JRip.RipperRule()
Constructor |
Method Summary | |
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java.lang.Object |
copy()
Get a shallow copy of this rule |
boolean |
covers(Instance datum)
Whether the instance covered by this rule |
FastVector |
getAntds()
Return the antecedents |
double |
getConsequent()
Gets the internal representation of the class label to be predicted |
java.lang.String |
getRevision()
Returns the revision string. |
void |
grow(Instances data)
Build one rule using the growing data |
boolean |
hasAntds()
Whether this rule has antecedents, i.e. |
void |
prune(Instances pruneData,
boolean useWhole)
Prune all the possible final sequences of the rule using the pruning data. |
void |
setConsequent(double cl)
Sets the internal representation of the class label to be predicted |
double |
size()
the number of antecedents of the rule |
java.lang.String |
toString(Attribute classAttr)
Prints this rule |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public JRip.RipperRule()
Method Detail |
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public void setConsequent(double cl)
cl
- the internal representation of the class label to be predictedpublic double getConsequent()
getConsequent
in class Rule
public java.lang.Object copy()
copy
in interface Copyable
copy
in class Rule
public boolean covers(Instance datum)
covers
in class Rule
datum
- the instance in question
public boolean hasAntds()
hasAntds
in class Rule
public FastVector getAntds()
public double size()
size
in class Rule
public void grow(Instances data) throws java.lang.Exception
grow
in class Rule
data
- the growing data used to build the rule
java.lang.Exception
- if the consequent is not set yetpublic void prune(Instances pruneData, boolean useWhole)
pruneData
- the pruning data used to prune the ruleuseWhole
- flag to indicate whether use the error rate of
the whole pruning data instead of the data coveredpublic java.lang.String toString(Attribute classAttr)
classAttr
- the class attribute in the data
public java.lang.String getRevision()
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