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" <[email protected]> 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 <[email protected]> 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
>
