Hello everyone, I am newbie to Apache Mahout. I am using Apache mahout 0.11.2. So to give it a try I created java class called samplereccommender.java which is attached in attachment and I managed to run same code from command line as *java -cp n.jar f.SampleReccommender n_lib/wishlistdata.txt* Now from what I read on the internet and book "Mahout in action" I understood that same code can be run on hadoop by using following commands. first i need to include my recommender.java into existing apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar. So I followed following procedure.
*jar uf /Users/rohitjain/Documents/apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar n.jar* then i tried running mahout job using following command *bin/hadoop jar /Users/rohitjain/Documents/apache-mahout-distribution-0.11.2/mahout-mr-0.11.2-job.jar org.apache.mahout.cf.taste.hadoop.item.RecommenderJob -i /input/wishlistdata.txt -o /output/ --recommenderClassName \ f.SampleRecommender* But it gives me an error as : *Unexpected --recommenderClassName while processing Job-Specific Options:* I tried above command based on the syntax given "mahout in action" book which is as mentioned below hadoop jar mahout-core-0.5-job.jar \ org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob \ -Dmapred.input.dir=input/ua.base.hadoop \ -Dmapred.output.dir=output \ --recommenderClassName \ org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender Am I doing anything wrong ? Also tell me whether the code I used for standalone implementation same can be be used for recommenderJobs or it requires all together different implementation? -- Thanks & Regards, *Rohit Jain* Web developer | Consultant Mob +91 8097283931
