|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
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.DataModels into ParallelArraysSGDFactorizerParallelArraysSGDFactorizerSequenceFilesFromMailArchivesDataModel 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 pseudo.RecommenderJob.SequenceFilesFromMailArchivesFactorizer 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.
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||