- cf - Static variable in class librec.intf.Recommender
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Static parameters for all recommenders
- cholesky() - Method in class librec.data.DenseMatrix
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- CLiMF - Class in librec.core
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Shi et al., Climf: learning to maximize reciprocal rank with
collaborative less-is-more filtering., RecSys 2012.
- CLiMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.core.CLiMF
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- clone() - Method in class librec.data.DenseMatrix
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Make a deep copy of current matrix
- clone() - Method in class librec.data.DenseVector
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Make a deep copy of current vector
- clone() - Method in class librec.data.SparseMatrix
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Make a deep clone of current matrix
- clone() - Method in class librec.data.SymmMatrix
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Make a deep copy of current matrix
- colMult(DenseMatrix, int, DenseMatrix, int) - Static method in class librec.data.DenseMatrix
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column x column of two matrix
- column(int) - Method in class librec.data.DenseMatrix
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- column() - Method in interface librec.data.MatrixEntry
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Returns the current column index
- column(int) - Method in class librec.data.SparseMatrix
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get a col sparse vector of a matrix
- columnMean(int) - Method in class librec.data.DenseMatrix
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Compute mean of a column of the current matrix
- columnSize(int) - Method in class librec.data.SparseMatrix
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query the size of a specific col
- ConstantGuess - Class in librec.baseline
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Baseline: predict by a constant rating
- ConstantGuess(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.ConstantGuess
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- contains(int) - Method in class librec.data.SparseVector
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Check if a vector contains a specific index
- convert(String, String) - Method in class librec.data.DataDAO
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Convert a data file separated by sep
to a data file separated by
toSep
- cov() - Method in class librec.data.DenseMatrix
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