mlpack
2.2.5
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amf.hpp File Reference
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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 |
typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDBatchLearning > | SparseSVDBatchFactorizer |
Add simple typedefs. More... | |
typedef amf::AMF< amf::SimpleResidueTermination, amf::RandomAcolInitialization<>, amf::SVDCompleteIncrementalLearning< arma::sp_mat > > | 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 > | 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 > | 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 > > | 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 > | SVDIncompleteIncrementalFactorizer |
SVDIncompleteIncrementalFactorizer factorizes given matrix V into two matrices W and H by incomplete incremental gradient descent. More... | |
Detailed Description
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.
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