Pragati- Please start a new thread with this question.
On 7/23/11, pragati meena (JIRA) <[email protected]> wrote: > > [ > https://issues.apache.org/jira/browse/MAHOUT-542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13070018#comment-13070018 > ] > > pragati meena commented on MAHOUT-542: > -------------------------------------- > > hi sebastian, > > i am trying to run the example in windows using hadoop on cygwin , but i > keep getting the following error ,even though history file exists at > same directory location > > Exception in thread "main" java.lang.IllegalStateException: > java.io.FileNotFoundException: File does not exist: > /user/hadoop/temp/errors/_logs > at > org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator$1.apply(SequenceFileDirIterator.java:73) > at > org.apache.mahout.common.iterator.sequencefile.SequenceFileDirIterator$1.apply(SequenceFileDirIterator.java:67) > at com.google.common.collect.Iterators$8.next(Iterators.java:730) > at com.google.common.collect.Iterators$5.hasNext(Iterators.java:508) > at > com.google.common.collect.ForwardingIterator.hasNext(ForwardingIterator.java:40) > at > org.apache.mahout.utils.eval.ParallelFactorizationEvaluator.computeRmse(ParallelFactorizationEvaluator.java:111) > > Any ideas on how to fix this > > regards > > Pragati Meena > >> MapReduce implementation of ALS-WR >> ---------------------------------- >> >> Key: MAHOUT-542 >> URL: https://issues.apache.org/jira/browse/MAHOUT-542 >> Project: Mahout >> Issue Type: New Feature >> Components: Collaborative Filtering >> Affects Versions: 0.5 >> Reporter: Sebastian Schelter >> Assignee: Sebastian Schelter >> Fix For: 0.5 >> >> Attachments: MAHOUT-452.patch, MAHOUT-542-2.patch, >> MAHOUT-542-3.patch, MAHOUT-542-4.patch, MAHOUT-542-5.patch, >> MAHOUT-542-6.patch, logs.zip >> >> >> As Mahout is currently lacking a distributed collaborative filtering >> algorithm that uses matrix factorization, I spent some time reading >> through a couple of the Netflix papers and stumbled upon the "Large-scale >> Parallel Collaborative Filtering for the Netflix Prize" available at >> http://www.hpl.hp.com/personal/Robert_Schreiber/papers/2008%20AAIM%20Netflix/netflix_aaim08(submitted).pdf. >> It describes a parallel algorithm that uses "Alternating-Least-Squares >> with Weighted-λ-Regularization" to factorize the preference-matrix and >> gives some insights on how the authors distributed the computation using >> Matlab. >> It seemed to me that this approach could also easily be parallelized using >> Map/Reduce, so I sat down and created a prototype version. I'm not really >> sure I got the mathematical details correct (they need some optimization >> anyway), but I wanna put up my prototype implementation here per Yonik's >> law of patches. >> Maybe someone has the time and motivation to work a little on this with >> me. It would be great if someone could validate the approach taken (I'm >> willing to help as the code might not be intuitive to read) and could try >> to factorize some test data and give feedback then. > > -- > This message is automatically generated by JIRA. > For more information on JIRA, see: http://www.atlassian.com/software/jira > > > -- Lance Norskog [email protected]
