mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat > Class Template Reference

TODO : Merge this template specialized function for sparse matrix using common row_col_iterator. More...

#include <svd_complete_incremental_learning.hpp>

Public Member Functions
	SVDCompleteIncrementalLearning (double u=0.01, double kw=0, double kh=0)
void	Initialize (const arma::sp_mat &dataset, const size_t rank)
void	WUpdate (const arma::sp_mat &V, arma::mat &W, const arma::mat &H)
	The update rule for the basis matrix W. More...
void	HUpdate (const arma::sp_mat &, const arma::mat &W, arma::mat &H)
	The update rule for the encoding matrix H. More...

Detailed Description

template<>
class mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >

TODO : Merge this template specialized function for sparse matrix using common row_col_iterator.

template specialiazed functions for sparse matrices

Member Function Documentation

HUpdate()

void mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >::HUpdate ( const arma::sp_mat &  , const arma::mat &  W, arma::mat &  H  )

inline

The update rule for the encoding matrix H.

The function takes in all the matrices and only changes the value of the H matrix.

Parameters

*	(V) Input matrix to be factorized.
W	Basis matrix.
H	Encoding matrix to be updated.

WUpdate()

void mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat >::WUpdate ( const arma::sp_mat &  V, arma::mat &  W, const arma::mat &  H  )

inline

The update rule for the basis matrix W.

The function takes in all the matrices and only changes the value of the W matrix.

Parameters

V	Input matrix to be factorized.
W	Basis matrix to be updated.
H	Encoding matrix.

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

• src/mlpack/methods/amf/update_rules/svd_complete_incremental_learning.hpp