Implementation of the SVD complete incremental policy to act as a wrapper when accessing SVD complete decomposition from within CFType. More...

Public Member Functions
template < typename MatType >
void	Apply (const MatType &, const arma::sp_mat &cleanedData, const size_t rank, arma::mat &w, arma::mat &h, const size_t maxIterations, const double minResidue, const bool mit)
	Apply Collaborative Filtering to the provided data set using the SVD complete incremental policy. More...

Detailed Description

Implementation of the SVD complete incremental policy to act as a wrapper when accessing SVD complete decomposition from within CFType.

Definition at line 30 of file svd_complete_method.hpp.

Member Function Documentation

inline

Apply Collaborative Filtering to the provided data set using the SVD complete incremental policy.

Parameters

data	Data matrix: dense matrix (coordinate lists) or sparse matrix(cleaned).
cleanedData	item user table in form of sparse matrix.
rank	Rank parameter for matrix factorization.
w	First matrix formed after decomposition.
h	Second matrix formed after decomposition.
maxIterations	Maximum number of iterations.
minResidue	Residue required to terminate.
mit	Whether to terminate only when maxIterations is reached.

Definition at line 48 of file svd_complete_method.hpp.

The documentation for this class was generated from the following file:

/home/ryan/src/mlpack.org/_src/mlpack-3.0.4/src/mlpack/methods/cf/decomposition_policies/svd_complete_method.hpp