Recommender
implemented for the Book Crossing demo.Recommender
implemented for the Book Crossing demo.Iterator
which iterates over any of the KDD Cup's rating files.DataModel
s into ParallelArraysSGDFactorizer
ParallelArraysSGDFactorizer
SequenceFilesFromMailArchives
DataModel
which reads into memory any of the KDD Cup's rating files; it is really
meant for use with training data in the files trainIdx{1,2}}.txt.Pattern
and outputs key as given by the groupingFieldsSequenceFilesFromMailArchives
) to a preference
file that can be consumed by the RecommenderJob
.SequenceFilesFromMailArchives
Factorizer
based on Simon Funk's famous article
"Netflix Update: Try this at home".MailProcessor
to one consumable
by the classifiersSequenceFilesFromMailArchives
and
SparseVectorsFromSequenceFiles
to ones consumable by the classifiers.TrainNewsGroups
.Track1Recommender
and attempts to output the result in the correct contest format.Track2Recommender
and attempts to output the result in the correct contest format.Copyright © 2008–2017 The Apache Software Foundation. All rights reserved.