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| Classes | |
| class | mlpack::amf::AMF< TerminationPolicyType, InitializationRuleType, UpdateRuleType > | 
| This class implements AMF (alternating matrix factorization) on the given matrix V.  More... | |
| Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::amf | |
| Alternating Matrix Factorization. | |
| Typedefs | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::NMFALSUpdate > | mlpack::amf::NMFALSFactorizer | 
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDBatchLearning > | mlpack::amf::SparseSVDBatchFactorizer | 
| Add simple typedefs.  More... | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDCompleteIncrementalLearning< arma::sp_mat > > | mlpack::amf::SparseSVDCompleteIncrementalFactorizer | 
| SparseSVDCompleteIncrementalFactorizer factorizes given sparse matrix V into two matrices W and H by complete incremental gradient descent.  More... | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDIncompleteIncrementalLearning > | mlpack::amf::SparseSVDIncompleteIncrementalFactorizer | 
| SparseSVDIncompleteIncrementalFactorizer factorizes given sparse matrix V into two matrices W and H by incomplete incremental gradient descent.  More... | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDBatchLearning > | mlpack::amf::SVDBatchFactorizer | 
| SparseSVDBatchFactorizer factorizes given matrix V into two matrices W and H by gradient descent.  More... | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDCompleteIncrementalLearning< arma::mat > > | mlpack::amf::SVDCompleteIncrementalFactorizer | 
| SVDCompleteIncrementalFactorizer factorizes given matrix V into two matrices W and H by complete incremental gradient descent.  More... | |
| typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDIncompleteIncrementalLearning > | mlpack::amf::SVDIncompleteIncrementalFactorizer | 
| SVDIncompleteIncrementalFactorizer factorizes given matrix V into two matrices W and H by incomplete incremental gradient descent.  More... | |
Alternating Matrix Factorization
The AMF (alternating matrix factorization) class, from which more commonly known techniques such as incremental SVD, NMF, and batch-learning SVD can be derived.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file amf.hpp.
 1.8.11
 1.8.11