Implementation of the Batch SVD policy to act as a wrapper when accessing Batch SVD 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 batch SVD method. More...

Detailed Description

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

Definition at line 29 of file batch_svd_method.hpp.

Member Function Documentation

inline

Apply Collaborative Filtering to the provided data set using the batch SVD method.

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 47 of file batch_svd_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/batch_svd_method.hpp