RE: [Classifier4j-devel] Exception in thread "main" java.lang.NoC lassDefFoundError: org/apache/commons/logging/LogFactory

[Nick L. <nic...@es...>]

You need apache commons logging. See
http://classifier4j.sourceforge.net/dependencies.html
<http://classifier4j.sourceforge.net/dependencies.html> 
 
Nick
 

-----Original Message-----
From: Wayne [mailto:des...@ho...]
Sent: Monday, 29 November 2004 9:17 AM
To: cla...@li...
Subject: [Classifier4j-devel] Exception in thread "main"
java.lang.NoClassDefFoundError: org/apache/commons/logging/LogFactory
Importance: Low



My Bayesian test program compiles fine but I get this error when I try to
run it:

 

Exception in thread "main" java.lang.NoClassDefFoundError:
org/apache/commons/logging/LogFactory

      at
net.sf.classifier4J.bayesian.WordProbability.calculateProbability(WordProbab
ility.java:167)

      at
net.sf.classifier4J.bayesian.WordProbability.setMatchingCount(WordProbabilit
y.java:138)

      at
net.sf.classifier4J.bayesian.WordProbability.<init>(WordProbabilityjava:115)

      at
net.sf.classifier4J.bayesian.SimpleWordsDataSource.addMatch(SimpleWordsDataS
ource.java:94)

      at testing.Test1.main(Test1.java:15)

 

I am using Eclipse 3.1M2 and have added the Classifier4J-0.51.jar as an
external JAR library. This version of Eclipse uses JDK 5.0.

 

Does anyone know what settings I need in Eclipse to run?

 

Here is the test code in my project:

 

 

package testing;

 

import net.sf.classifier4J.ClassifierException;

import net.sf.classifier4J.IClassifier;

import net.sf.classifier4J.bayesian.BayesianClassifier;

import net.sf.classifier4J.bayesian.IWordsDataSource;

import net.sf.classifier4J.bayesian.SimpleWordsDataSource;

import net.sf.classifier4J.bayesian.WordsDataSourceException;

 

public class Test1 {

 

            public static void main(String[] args) {

                        IWordsDataSource wds = new SimpleWordsDataSource();

                        try {

                                    wds.addMatch("Blah");

                        } catch (WordsDataSourceException e) {

                                    e.printStackTrace();

                        }

                        IClassifier classifier = new
BayesianClassifier(wds);

                        try {

                                    dReturn = classifier.classify("Blah
Happy Holidays");

                        } catch (ClassifierException e1) {

                                    e1.printStackTrace();

                        }

                        System.out.println(dReturn);

            }

            private static double dReturn;

}

 

 

Thanks

-Wayne