thanks a lot. it works with the latest version. however, it runs out of
memory after the 2nd job. what exactly are these jobs? and how many
should run to finish the task?
(hadoop jar
/localhome/tjambor/mahout/core/target/mahout-core-0.4-SNAPSHOT.job
org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
-Dmapred.input.dir=testdata/100k_data.data -Dmapred.output.dir=output)
I have a small cluster, only 5 computers, some of them does not have a
lot of memory, but the master server should be fine. besides, I only ran
the test with the smallest movielens data set (100k).
On 02/05/2010 20:08, Sean Owen wrote:
It seems it cannot find Vector in the .job file, and I am not sure why
that would be. You build from source and used the .job file in
core/target? Should be OK.
Nevertheless I'd suggest you use the latest from SVN instead; if there
is some issue with 0.3 unfortunately it's hard to help since the code
has moved on so much since then. It's easy to support what's at head
now.
