Hi, Pat, I think it would better to follow the existing system instead of making a large scale data transfer.
So, I will be very appreciated if somebody can give the advice based on hadoop, Thank you. 在 2015-04-13 00:33:48,"Pat Ferrel" <p...@occamsmachete.com> 写道: >You are invoking it incorrectly but I’d suggest using the newer Spark version. >It’s easier to use and about 10x faster. > >You’ll need to install Spark alongside Mahout then invoke with: > >mahout spark-itemsimilarity -i input -o output …. > >The driver is documented here: >http://mahout.apache.org/users/algorithms/intro-cooccurrence-spark.html > > >On Apr 11, 2015, at 12:34 AM, lastarsenal <lastarse...@163.com> wrote: > >Hi, > > I'm a rookie for mahout. Recently when I tried to run ItemSimilarityJob with > my own hadoop, I met a problem. The command is: > >hadoop jar mahout-core-0.9-job.jar >org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob -i >/home/hadoop/itembased/user_item -o /home/hadoop/itembased/output -s >SIMILARITY_EUCLIDEAN_DISTANCE -mp 0 -b true --startPhase 0 --endPhase 0 > > >There are 1 errors: >15/04/10 15:06:02 ERROR common.AbstractJob: Unexpected 0 while processing >Job-Specific Options: >Unexpected 0 while processing Job-Specific Options: > >Usage: > >[--input <input> --output <output> --similarityClassname <similarityClassname> >--maxSimilaritiesPerItem <maxSimilaritiesPerItem> --maxPrefs <maxPrefs> > >--minPrefsPerUser <minPrefsPerUser> --booleanData <booleanData> --threshold > ><threshold> --randomSeed <randomSeed> --help --tempDir <tempDir> --startPhase > ><startPhase> --endPhase <endPhase>] > > >What's the resaon for this situation? Thank you! > > >Best Regards, >lastarsenal >