- RandomGuess - Class in librec.baseline
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Baseline: predict by a random value in (minRate, maxRate)
- RandomGuess(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.RandomGuess
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- rateDao - Static variable in class librec.intf.Recommender
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- rateMatrix - Static variable in class librec.intf.Recommender
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- readData() - Method in class librec.data.DataDAO
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Default relevant columns {0: user column, 1: item column, 2: rate
column}; otherwise try readData(int[] rels)
- readData(boolean) - Method in class librec.data.DataDAO
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- readData(int[], boolean) - Method in class librec.data.DataDAO
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Read data from the data file
- readme() - Static method in class librec.main.LibRec
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Print out software information
- Recommender - Class in librec.intf
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General recommenders
- Recommender(SparseMatrix, SparseMatrix, int) - Constructor for class librec.intf.Recommender
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Constructor for Recommender
- Recommender.Measure - Enum in librec.intf
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- RegSVD - Class in librec.core
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Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value
Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop,
2007.
- RegSVD(SparseMatrix, SparseMatrix, int) - Constructor for class librec.core.RegSVD
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- row(int) - Method in class librec.data.DenseMatrix
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- row(int, boolean) - Method in class librec.data.DenseMatrix
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- row() - Method in interface librec.data.MatrixEntry
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Returns the current row index
- row(int) - Method in class librec.data.SparseMatrix
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get a row sparse vector of a matrix
- row(int, int) - Method in class librec.data.SparseMatrix
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get a row sparse vector of a matrix
- row(int) - Method in class librec.data.SymmMatrix
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Retrieve a complete row of similar items
- rowMult(DenseMatrix, int, DenseMatrix, int) - Static method in class librec.data.DenseMatrix
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row x row of two matrix
- rowSize(int) - Method in class librec.data.SparseMatrix
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query the size of a specific row
- run() - Method in class librec.intf.Recommender
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