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## Hierarchy For All Packages

Package Hierarchies:
  prea.data.splitter, prea.data.structure, prea.main, prea.recommender, prea.recommender.baseline, prea.recommender.etc, prea.recommender.matrix, prea.recommender.memory, prea.util

## Class Hierarchy

- java.lang.Object
  - prea.recommender.baseline.BaselineRecommender (implements prea.recommender.Recommender)
    - prea.recommender.baseline.Average
    - prea.recommender.baseline.Constant
    - prea.recommender.baseline.ItemAverage
    - prea.recommender.baseline.Random
    - prea.recommender.baseline.UserAverage
  - prea.recommender.CustomRecommender (implements prea.recommender.Recommender)
  - prea.data.structure.DataMap<Key,Val> (implements java.lang.Iterable<T>)
  - prea.data.splitter.DataSplitManager
    - prea.data.splitter.KfoldCrossValidation
    - prea.data.splitter.PredefinedSplit
    - prea.data.splitter.SimpleSplit
  - prea.data.structure.DenseMatrix
  - prea.data.structure.DenseVector
  - prea.util.Distance
  - prea.util.Distribution
  - prea.util.EvaluationMetrics
  - prea.recommender.etc.FastNPCA (implements prea.recommender.Recommender)
  - prea.util.Loss
  - prea.recommender.matrix.MatrixFactorizationRecommender (implements prea.recommender.Recommender)
    - prea.recommender.matrix.BayesianPMF
    - prea.recommender.matrix.NMF
    - prea.recommender.matrix.PMF
    - prea.recommender.matrix.RegularizedSVD
  - prea.recommender.memory.MemoryBasedRecommender (implements prea.recommender.Recommender)
    - prea.recommender.memory.ItemBased
    - prea.recommender.memory.UserBased
  - prea.recommender.etc.NonlinearPMF (implements prea.recommender.Recommender)
  - prea.main.Prea
  - prea.util.Printer
  - prea.recommender.etc.RankBased (implements prea.recommender.Recommender)
  - prea.recommender.etc.SlopeOne (implements prea.recommender.Recommender)
  - prea.util.Sort
  - prea.data.structure.SparseMatrix
  - prea.data.structure.SparseVector
  - prea.main.Splitter
  - prea.recommender.UnitTest

## Interface Hierarchy

- prea.recommender.Recommender

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