Alternating Matrix Factorization. More...

Classes
class	AMF
	This class implements AMF (alternating matrix factorization) on the given matrix V. More...

class	AverageInitialization
	This initialization rule initializes matrix W and H to root of average of V with uniform noise. More...

class	CompleteIncrementalTermination

class	IncompleteIncrementalTermination

class	NMFALSUpdate
	This class implements a method titled 'Alternating Least Squares' described in the paper 'Positive Matrix Factorization: A Non-negative Factor Model with Optimal Utilization of Error Estimates of Data Values' by P Paatero and U Tapper. More...

class	NMFMultiplicativeDistanceUpdate
	The multiplicative distance update rules for matrices W and H. More...

class	NMFMultiplicativeDivergenceUpdate
	This follows a method described in the paper 'Algorithms for Non-negative Matrix Factorization' by D. More...

class	RandomAcolInitialization
	This class initializes the W matrix of the AMF algorithm by averaging p randomly chosen columns of V. More...

class	RandomInitialization

class	SimpleResidueTermination
	This class implements a simple residue-based termination policy. More...

class	SimpleToleranceTermination
	This class implements residue tolerance termination policy. More...

class	SVDBatchLearning
	This class implements SVD batch learning with momentum. More...

class	SVDCompleteIncrementalLearning

class	SVDCompleteIncrementalLearning< arma::sp_mat >

class	SVDIncompleteIncrementalLearning

class	ValidationRMSETermination

Functions
template<>
void	SVDBatchLearning::HUpdate< arma::sp_mat > (const arma::sp_mat &V, const arma::mat &W, arma::mat &H)

template<>
void	SVDBatchLearning::WUpdate< arma::sp_mat > (const arma::sp_mat &V, arma::mat &W, const arma::mat &H)
	TODO : Merge this template specialized function for sparse matrix using common row_col_iterator. More...

template<>
void	SVDIncompleteIncrementalLearning::HUpdate< arma::sp_mat > (const arma::sp_mat &V, const arma::mat &W, arma::mat &H)

template<>
void	SVDIncompleteIncrementalLearning::WUpdate< arma::sp_mat > (const arma::sp_mat &V, arma::mat &W, const arma::mat &H)

Detailed Description

Alternating Matrix Factorization.

Function Documentation

template<>

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

inline

Definition at line 197 of file svd_batch_learning.hpp.

template<>

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

inline

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

WUpdate function specialization for sparse matrix

Definition at line 166 of file svd_batch_learning.hpp.

template<>

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

inline

template<>

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

inline