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java.lang.Objectedu.washington.cs.knowitall.extractor.conf.ReVerbConfFunction
public class ReVerbConfFunction
An extraction confidence function that is backed by a logistic regression
classifier. This function will assign an extraction a real valued number between
0 and 1 according to the logistic regression model.
It represents an extraction using the boolean features defined by the
ReVerbFeatures
class. See that documentation for details.
It uses the model returned by DefaultObjects.getDefaultConfClassifier
,
which searches the classpath for a file called "conf.weka".
Constructor Summary | |
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ReVerbConfFunction()
Constructs a new instance of the confidence function. |
Method Summary | |
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double |
getConf(ChunkedBinaryExtraction extr)
|
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public ReVerbConfFunction() throws java.io.IOException
java.io.IOException
- if unable to load the classifier modelMethod Detail |
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public double getConf(ChunkedBinaryExtraction extr) throws ConfidenceFunctionException
extr
-
ConfidenceFunctionException
- if unable to compute the confidence score
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