Running Taste Web example without the webserver

[Aurora Skarra-Gallagher]

Hi,

I'm trying to run the taste web example without using jetty. Our gateways 
aren't meant to be used as webservers. By poking around, I found that the 
following command worked:
hadoop --config ~/hod-clusters/test jar 
/x/mahout-current/examples/target/mahout-examples-0.2-SNAPSHOT.job 
org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommenderEvaluatorRunner

The output is:
09/07/21 19:59:21 INFO file.FileDataModel: Creating FileDataModel for file 
/tmp/ratings.txt
09/07/21 19:59:21 INFO eval.AbstractDifferenceRecommenderEvaluator: Beginning 
evaluation using 0.9 of GroupLensDataModel
09/07/21 19:59:22 INFO file.FileDataModel: Reading file info...
09/07/21 19:59:22 INFO file.FileDataModel: Processed 100000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 200000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 300000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 400000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 500000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 600000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 700000 lines
09/07/21 19:59:22 INFO file.FileDataModel: Processed 800000 lines
09/07/21 19:59:23 INFO file.FileDataModel: Processed 900000 lines
09/07/21 19:59:23 INFO file.FileDataModel: Processed 1000000 lines
09/07/21 19:59:23 INFO file.FileDataModel: Read lines: 1000209
09/07/21 19:59:30 INFO slopeone.MemoryDiffStorage: Building average diffs...
09/07/21 19:59:42 INFO eval.AbstractDifferenceRecommenderEvaluator: Evaluation 
result: 0.7035965559003973
09/07/21 19:59:42 INFO grouplens.GroupLensRecommenderEvaluatorRunner: 
0.7035965559003973

The job appears to write data to /tmp/ratings.txt and /tmp/movies.txt. I'm not 
sure if this is the correct way to run this example. I have a few questions:

 1.  Is the output file /tmp/ratings.txt? If so, how do I interpret it?
 2.  What does the Evaluation result mean?
 3.  Is it even running on HDFS?
 4.  Is it a map-reduce job?

Any pointers on how to run this as a standalone job would be helpful.

Thanks,
Aurora