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Classes | |
| class | 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 > | NMFALSFactorizer |
template < typename MatType = arma::mat > | |
| using | SVDBatchFactorizer = amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDBatchLearning > |
| Convenience typedefs. More... | |
template < class MatType = arma::mat > | |
| using | SVDCompleteIncrementalFactorizer = amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDCompleteIncrementalLearning< MatType > > |
| SVDCompleteIncrementalFactorizer factorizes given matrix V into two matrices W and H by complete incremental gradient descent. More... | |
template < class MatType = arma::mat > | |
| using | SVDIncompleteIncrementalFactorizer = amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDIncompleteIncrementalLearning > |
| 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.