edu.washington.cs.knowitall.extractor.conf

Class ReVerbOpenNlpClassifierTrainer

java.lang.Object

edu.washington.cs.knowitall.extractor.conf.ReVerbOpenNlpClassifierTrainer

public class ReVerbOpenNlpClassifierTrainer
extends Object

Used to train the ReVerb confidence function using the features described by ReVerbFeatures. Given a set of LabeledBinaryExtraction instances, this class featurizes them and trains a logistic regression classifier using Weka's Logistic class. This class can be called from the command-line to train a classifier and save the resulting model to a file.

Author:

afader

Constructor Summary

Constructors

Constructor and Description
ReVerbOpenNlpClassifierTrainer(Iterable<LabeledBinaryExtraction> examples) Constructs and trains a new Logistic classifier using the given examples.

Method Summary

Methods

Modifier and Type	Method and Description
opennlp.maxent.GISModel	getModel()
static void	main(String[] args) Trains a logistic regression classifier using the examples in the given file, and saves the model to disk.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ReVerbOpenNlpClassifierTrainer

public ReVerbOpenNlpClassifierTrainer(Iterable<LabeledBinaryExtraction> examples)
                               throws Exception

Constructs and trains a new Logistic classifier using the given examples.

Parameters:

examples -

Throws:

Exception

Method Detail

getModel

public opennlp.maxent.GISModel getModel()

Returns:

the trained classifier.

main

public static void main(String[] args)
                 throws Exception

Trains a logistic regression classifier using the examples in the given file, and saves the model to disk. The examples must be in the format described in LabeledBinaryExtractionReader.

Parameters:

args -

Throws:

Exception