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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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