Can you send the train and test data to me. Are you using 0.2 release or the trunk?
Seems model wasnt built as there was an error Exception in thread "main" org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file:/tmp/hadoop/model/trainer-termDocCount Input path does not exist: file:/tmp/hadoop/model/trainer-wordFreq Input path does not exist: file:/tmp/hadoop/model/trainer-featureCount So there is no point running the classifier Weka also seems not to be doing good either. On Mon, Feb 8, 2010 at 6:24 PM, Martin Häger <[email protected]>wrote: > Hi, > > We're experimenting a bit with Weka and Mahout. Our input data is a > relation in ARFF format (see attached data.training.arff), and we'd > like to classify it using Mahout. However, it seems (to us, at first) > that the Mahout classifier.bayes.interfaces.Algorithm interface is > centered around documents of text, and not general attribute data. > Thus, running the classifier causes our ARFF data to be interpreted as > a document of words, with not very useful results (see attached > mahout.log). > > With Weka, we're able to get the results we want (see attached weka.log). > > Any suggestions for how to get this working? > > Thanks! >
