Mlpack::amf -
class AMF
This class implements AMF (alternating matrix factorization) on the given matrix V. class CompleteIncrementalTermination
class IncompleteIncrementalTermination
class NMFALSUpdate
The alternating least square update rules of matrices W and H. class NMFMultiplicativeDistanceUpdate
The multiplicative distance update rules for matrices W and H. class NMFMultiplicativeDivergenceUpdate
class RandomAcolInitialization
This class initializes the W matrix of the NMF algorithm by averaging p randomly chosen columns of V. class RandomInitialization
class SimpleResidueTermination
class SimpleToleranceTermination
class SVDBatchLearning
class SVDCompleteIncrementalLearning
class SVDCompleteIncrementalLearning< arma::sp_mat >
class SVDIncompleteIncrementalLearning
class ValidationRMSETermination
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)
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)
Definition at line 175 of file svd_batch_learning.hpp.
Definition at line 144 of file svd_batch_learning.hpp.
Definition at line 135 of file svd_incomplete_incremental_learning.hpp.
Definition at line 114 of file svd_incomplete_incremental_learning.hpp.
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