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## I

index1toAll - Variable in class prea.recommender.etc.NonlinearPMF
  list of number from 1 to n
indexList() - Method in class prea.data.structure.DenseVector
  Get a list of existing indices.
indexList() - Method in class prea.data.structure.SparseVector
  Get a list of existing indices.
initialize(double) - Method in class prea.data.structure.DenseVector
  Set a same value to every element.
initialize(int[], double) - Method in class prea.data.structure.DenseVector
  Set same value to given indices.
initialize(double) - Method in class prea.data.structure.SparseVector
  Set a same value to every element.
initialize(int[], double) - Method in class prea.data.structure.SparseVector
  Set same value to given indices.
innerProduct(DenseVector) - Method in class prea.data.structure.DenseVector
  Inner product of two vectors.
innerProduct(SparseVector) - Method in class prea.data.structure.SparseVector
  Inner product of two vectors.
inverse() - Method in class prea.data.structure.DenseMatrix
  Calculate inverse matrix.
inverse() - Method in class prea.data.structure.SparseMatrix
  Calculate inverse matrix.
INVERSE_USER_FREQUENCY - Static variable in class prea.recommender.memory.MemoryBasedRecommender
  Similarity Measure Code for Inverse User Frequency
ItemAverage - Class in prea.recommender.baseline
  The class implementing a baseline, predicting by the average of target item ratings.
ItemAverage(int, int, double, double, SparseVector) - Constructor for class prea.recommender.baseline.ItemAverage
  Construct a constant model with the given data.
ItemBased - Class in prea.recommender.memory
  The class implementing item-based neighborhood method, predicting by referring to rating matrix for each query.
ItemBased(int, int, int, int, int, int, boolean, double, SparseVector, boolean, String) - Constructor for class prea.recommender.memory.ItemBased
  Construct an item-based model with the given data.
itemCount - Variable in class prea.data.splitter.DataSplitManager
  The number of items.
itemCount() - Method in class prea.data.structure.DataMap
  Count the number of elements in the map.
itemCount() - Method in class prea.data.structure.DenseMatrix
  Actual number of items in the matrix.
itemCount() - Method in class prea.data.structure.DenseVector
  Actual number of items in the vector.
itemCount() - Method in class prea.data.structure.SparseMatrix
  Actual number of items in the matrix.
itemCount() - Method in class prea.data.structure.SparseVector
  Actual number of items in the vector.
itemCount - Static variable in class prea.main.Prea
  The number of items.
itemCount - Static variable in class prea.main.Splitter
  The number of items.
itemCount - Variable in class prea.recommender.baseline.BaselineRecommender
  The number of items.
itemCount - Variable in class prea.recommender.CustomRecommender
  The number of items.
itemCount - Variable in class prea.recommender.etc.FastNPCA
  The number of items.
itemCount - Variable in class prea.recommender.etc.NonlinearPMF
  The number of items.
itemCount - Variable in class prea.recommender.etc.RankBased
  The number of items.
itemCount - Variable in class prea.recommender.etc.SlopeOne
  The number of items.
itemCount - Variable in class prea.recommender.matrix.MatrixFactorizationRecommender
  The number of items.
itemCount - Variable in class prea.recommender.memory.MemoryBasedRecommender
  The number of items.
itemFeatures - Variable in class prea.recommender.etc.NonlinearPMF
  Item profile in low-rank matrix form.
itemFeatures - Variable in class prea.recommender.matrix.MatrixFactorizationRecommender
  Item profile in low-rank matrix form.
itemFeaturesChange - Variable in class prea.recommender.etc.NonlinearPMF
  Change of Item profile in low-rank matrix form.
itemRateAverage - Static variable in class prea.data.splitter.DataSplitManager
  Average of ratings for each item.
itemRateAverage - Static variable in class prea.main.Prea
  Average of ratings for each item.
itemRateAverage - Static variable in class prea.main.Splitter
  Average rating for each item.
itemRateAverage - Variable in class prea.recommender.baseline.ItemAverage
  Average of ratings for each item.
itemRateAverage - Variable in class prea.recommender.memory.ItemBased
  Average of ratings for each item.
itemSimilarityFileName - Variable in class prea.recommender.memory.ItemBased
  The name of pre-calculated item similarity file, if it is used.
itemSimilarityPrefetch - Static variable in class prea.main.Prea
  Indicating whether loading pre-calculated item similarity file or not
itemSimilarityPrefetch - Variable in class prea.recommender.memory.ItemBased
  Indicating whether the pre-calculated item similarity file is used.
iterator() - Method in class prea.data.structure.DataMap
  Get an iterator for the map.

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