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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.
1.8.7