## Package org.apache.mahout.cf.taste.example.kddcup.track1.svd

Interface Summary
FactorizablePreferences: models the necessary input for `ParallelArraysSGDFactorizer`

Class Summary
DataModelFactorizablePreferences: can be used to drop `DataModel`s into `ParallelArraysSGDFactorizer`
KDDCupFactorizablePreferences
ParallelArraysSGDFactorizer: `Factorizer` based on Simon Funk's famous article "Netflix Update: Try this at home".
Track1SVDRunner: run an SVD factorization of the KDD track1 data.

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