Pe 14.03.2012 19:40, James Ferretti a scris:
Hi,
I am trying to perform TFIDF on a set of documents (as text files)
using mahout to do to calculations, following this
guide:
http://www.philippeadjiman.com/blog/2010/12/30/how-to-easily-build-and-observe-tf-idf-weight-vectors-with-lucene-and-mahout
Hi all,
I am trying to run a RecommenderJob from a Java program. I have added the
files users.txt and input.txt to a Hadoop VM and use the run-method of
RecommenderJob to start the calculation. But the the following error
message occurs while running the MapReducer:
Error: java.lang.ClassNotFound
You shouldn't have to add anything to your jar, if you use the
supplied 'job' file which contains all transitive dependencies.
If you do add your own jars, I think you need to unpack and repack
them, not put them into the overall jar as a jar file, even with a
MANIFEST.MF entry. I am not sure that
Thanks for your fast answer.
I haven't added the jar manually, but by adding the dependency to the
pom.xml. I tried it with and without the dependendy and with different
versions of the dependency, but it remained the same error message.
But the RecommenderJob is meant to be to run a pseudo distr
You would still need to use the 'job' file generated by the build to
get an artifact with all the dependencies.
You don't need to add Guava as a dependency; it already is one. It's
the job file that you're missing.
There are two RecommenderJobs. One is what I call pseudo-distributed,
yes. The othe
These are great news! I was not quite sure if the item based recommender is
fully distributes, but this helps! Thanks!
I have removed the dependency now. But although it may again be a stupid
question: what do you exactly mean with "I am missing the job file"? Sorry,
but I am completely new to Mah
After 'mvn package' you should see a file ending in 'job.jar' under
target/ This is the jar file to use with Hadoop.
On Thu, Mar 15, 2012 at 10:56 AM, Janina wrote:
> These are great news! I was not quite sure if the item based recommender is
> fully distributes, but this helps! Thanks!
>
> I hav
Ahhh, ok...yes, I am using this generated jar file with Hadoop, but this
does not change the error message about com.google.common.primitives.Longs
.
2012/3/15 Sean Owen
> After 'mvn package' you should see a file ending in 'job.jar' under
> target/ This is the jar file to use with Hadoop.
>
Pe 15.03.2012 13:14, Janina a scris:
Ahhh, ok...yes, I am using this generated jar file with Hadoop, but this
does not change the error message about com.google.common.primitives.Longs
.
Hello Janina,
Could you please enable bash debugging [1] and show us the command line
that submits yo
Can you elaborate on how to set these classpaths?
The job takes a classpath param, (from mahout --help)
-libjarscomma separated jar files to include in
the classpath.
is the needed code bundled with the job or does the path n
Wait! I thought there was only one RecommenderJob?
On Thu, Mar 15, 2012 at 3:44 AM, Sean Owen wrote:
> You would still need to use the 'job' file generated by the build to
> get an artifact with all the dependencies.
> You don't need to add Guava as a dependency; it already is one. It's
> the job
On 20.02.2012 Manuel Blechschmidt wrote:
> I am going to give a talk about setting up mahout in a Java EE environment:
> http://bed-con.org/talks/how-to-build-a-recommender-system-based-on-mda-gwt
> -mahout-and-java-ee/
>
> I created in my eyes the smallest possible demo for a recommender with an
Hi Guys
I’m running k-Means driver, I find most (95%)
of my input vectors is built into one cluster, so I retrieved the big Cluster
object and one of its point that belong to it, use CosineDistanceMeasure to
calculate
the distance between them, I found the distance is “NaN”, so I tried t
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