public class ParallelALSFactorizationJob extends AbstractJob
MapReduce implementation of the two factorization algorithms described in
"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.
"Collaborative Filtering for Implicit Feedback Datasets" available at http://research.yahoo.com/pub/2433
Command line arguments specific to this class are:
argMap, inputFile, inputPath, outputFile, outputPath, tempPath
Constructor and Description |
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ParallelALSFactorizationJob() |
Modifier and Type | Method and Description |
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static void |
main(String[] args) |
int |
run(String[] args) |
addFlag, addInputOption, addOption, addOption, addOption, addOption, addOutputOption, buildOption, buildOption, getAnalyzerClassFromOption, getCLIOption, getConf, getDimensions, getFloat, getFloat, getGroup, getInputFile, getInputPath, getInt, getInt, getOption, getOption, getOption, getOptions, getOutputFile, getOutputPath, getOutputPath, getTempPath, getTempPath, hasOption, keyFor, maybePut, parseArguments, parseArguments, parseDirectories, prepareJob, prepareJob, prepareJob, prepareJob, setConf, setS3SafeCombinedInputPath, shouldRunNextPhase
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