MLPACK
1.0.10
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Classes | |
class | AMF |
This class implements AMF (alternating matrix factorization) on the given matrix V. More... | |
class | CompleteIncrementalTermination |
class | IncompleteIncrementalTermination |
class | NMFALSUpdate |
The alternating least square update rules of matrices W and H. More... | |
class | NMFMultiplicativeDistanceUpdate |
The multiplicative distance update rules for matrices W and H. More... | |
class | NMFMultiplicativeDivergenceUpdate |
class | RandomAcolInitialization |
This class initializes the W matrix of the NMF algorithm by averaging p randomly chosen columns of V. More... | |
class | RandomInitialization |
class | SimpleResidueTermination |
class | SimpleToleranceTermination |
class | SVDBatchLearning |
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) |
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) |
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inline |
Definition at line 175 of file svd_batch_learning.hpp.
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inline |
Definition at line 144 of file svd_batch_learning.hpp.
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inline |
Definition at line 135 of file svd_incomplete_incremental_learning.hpp.
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inline |
Definition at line 114 of file svd_incomplete_incremental_learning.hpp.