abstractsmoother.java
来自「用java实现的关联规则算法Apriori算法」· Java 代码 · 共 79 行
JAVA
79 行
package dragon.ir.search.smooth;
import dragon.ir.index.*;
import dragon.ir.query.*;
/**
* <p>Abstract Smoother</p>
* <p></p>
* <p>Copyright: Copyright (c) 2005</p>
* <p>Company: IST, Drexel University</p>
* @author Davis Zhou
* @version 1.0
*/
public abstract class AbstractSmoother implements Smoother{
protected boolean useLog;
protected double queryWeight;
protected boolean docFirstOptimal, querytermFirstOptimal;
abstract protected double computeSmoothedProb(int termFreq);
public boolean isDocFirstOptimal(){
return docFirstOptimal;
}
public boolean isQueryTermFirstOptimal(){
return querytermFirstOptimal;
}
public void setLogLikelihoodOption(boolean option){
useLog=option;
}
public boolean getLogLikelihoodOption(){
return useLog;
}
public double getSmoothedProb(int termFreq){
return computeSmoothedProb(termFreq);
}
public double getSmoothedProb(IRDoc doc, int termFreq){
setDoc(doc);
return computeSmoothedProb(termFreq);
}
public double getSmoothedProb(IRDoc doc){
setDoc(doc);
return computeSmoothedProb(0);
}
public double getSmoothedProb(SimpleTermPredicate queryTerm, int termFreq){
setQueryTerm(queryTerm);
return computeSmoothedProb(termFreq);
}
public double getSmoothedProb(SimpleTermPredicate queryTerm){
setQueryTerm(queryTerm);
return computeSmoothedProb(0);
}
public double getSmoothedProb(IRDoc doc, SimpleTermPredicate queryTerm){
setDoc(doc);
setQueryTerm(queryTerm);
return computeSmoothedProb(0);
}
public double getSmoothedProb(IRDoc doc, SimpleTermPredicate queryTerm, int termFreq){
setDoc(doc);
setQueryTerm(queryTerm);
return computeSmoothedProb(termFreq);
}
protected double getProb(double originalProb){
if(useLog){
return Math.log(originalProb);
}
else
return originalProb;
}
}
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