I *love* it that all these people whose faces I wouldn't even know in a crowd are jumping in and answering questions before I even see the question.
Way to go Alex and Federico! On Thu, Oct 21, 2010 at 10:40 AM, Alexander Hans <[email protected]> wrote: > Hi Neil, > > this is a JUnit test, so you need JUnit to run it. I'm using Eclipse IDE > with the JUnit plugin and run it from there. From the commandline you can > use the TestRunner, for instance. See > > http://www.junit.org/apidocs/junit/textui/TestRunner.html > > You will have to make sure that you have a JUnit jar file in your > classpath. > > > HTH, > > Alex > > > > Thanks Federico and Robin , Got it now. > > Anybody knows the command line parameters running this ? > > > > On Thu, Oct 21, 2010 at 11:02 PM, Federico Castanedo > > <[email protected]>wrote: > > > >> Hello Neil, > >> > >> The file is here: > >> > >> /core/src/test/java/org/apache/mahout/classifier/bayes > >> > >> Regards > >> > >> > >> 2010/10/21 Neil Ghosh <[email protected]>: > >> > Thanks Drew > >> > I could not find the file > >> > > >> > > >> > http://svn.apache.org/repos/asf/mahout/trunk/core/src/test/java/org/apache/mahout/classifier/bayes/BayesClassifierSelfTest.java > >> > > >> > In my mahout trunk in this directory > >> > > >> > n...@neil-laptop > >> :~/trunk/core/src/main/java/org/apache/mahout/classifier/bayes$ > >> > ll > >> > total 92 > >> > drwxr-xr-x 11 neil neil 4096 2010-09-19 12:15 ./ > >> > drwxr-xr-x 7 neil neil 4096 2010-09-19 12:15 ../ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 algorithm/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 common/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 datastore/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 exceptions/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 interfaces/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 io/ > >> > drwxr-xr-x 6 neil neil 4096 2010-09-19 12:15 mapreduce/ > >> > drwxr-xr-x 3 neil neil 4096 2010-09-19 12:15 model/ > >> > -rw-r--r-- 1 neil neil 8249 2010-09-19 12:15 > >> MultipleOutputFormat.java > >> > -rw-r--r-- 1 neil neil 1441 2010-09-19 12:15 > >> MultipleTextOutputFormat.java > >> > -rw-r--r-- 1 neil neil 4133 2010-09-19 12:15 package.html > >> > drwxr-xr-x 6 neil neil 4096 2010-09-19 12:15 .svn/ > >> > -rw-r--r-- 1 neil neil 13066 2010-09-19 12:15 TestClassifier.java > >> > -rw-r--r-- 1 neil neil 7660 2010-09-19 12:15 TrainClassifier.java > >> > > >> > Am I looking at the correct directory ? > >> > Any reference how to run this ? > >> > > >> > On Thu, Sep 30, 2010 at 11:58 PM, Drew Farris <[email protected]> > wrote: > >> > > >> >> On Thu, Sep 30, 2010 at 10:00 AM, Neil Ghosh <[email protected]> > >> wrote: > >> >> > > >> >> > My Question is , If I want to test unknown, documents , do I need > >> it > >> in > >> >> > specific format ? or just keep them (as raw text ) in the input > >> folder > >> >> while > >> >> > testing ? > >> >> > >> >> If I interpret your question correctly, you're saying "I've trained > >> my > >> >> classifier and tested it, now how do I use it in production?". I > >> don't > >> >> know that this is covered by the example. > >> >> > >> >> The unit test, in core/src/test/java -- > >> >> org.apache.mahout.classifier.bayes.BayesClassifierSelfTest provides a > >> >> potentially useful example. Take a look at the testSelfTestBayes() > >> >> method. > >> >> > >> >> In general, the operations involved include; > >> >> Create an instance of Algorithm and Datastore, configure as > >> appropriate . > >> >> Create an instance of ClassifierContext (named classifier) using > >> >> the Algorithm and Datastore, calling initialize() upon i the context. > >> >> Generate tokens from your input document (either individual words > >> >> or ngrams based on how the data used to train the model was > >> >> processed). > >> >> Call classifier.classifyDocument(String[] tokens, String > >> >> defaultCat) this will return a ClassifierResult containing the top > >> >> classifications for the input document ranked by score). > >> >> > >> >> HTH, > >> >> > >> >> Drew > >> >> > >> > > >> > > >> > > >> > -- > >> > Thanks and Regards > >> > Neil > >> > http://neilghosh.com > >> > > >> > > > > > > > > >
