mlpack  1.0.12
Public Member Functions | Private Attributes | List of all members
mlpack::amf::SVDCompleteIncrementalLearning< MatType > Class Template Reference

Public Member Functions

 SVDCompleteIncrementalLearning (double u=0.0001, double kw=0, double kh=0)
 
void HUpdate (const MatType &V, const arma::mat &W, arma::mat &H)
 The update rule for the encoding matrix H. More...
 
void Initialize (const MatType &dataset, const size_t rank)
 
void WUpdate (const MatType &V, arma::mat &W, const arma::mat &H)
 The update rule for the basis matrix W. More...
 

Private Attributes

size_t currentItemIndex
 
size_t currentUserIndex
 
double kh
 
double kw
 
size_t m
 
size_t n
 
double u
 

Detailed Description

template<class MatType>
class mlpack::amf::SVDCompleteIncrementalLearning< MatType >

Definition at line 12 of file svd_complete_incremental_learning.hpp.

Constructor & Destructor Documentation

template<class MatType >
mlpack::amf::SVDCompleteIncrementalLearning< MatType >::SVDCompleteIncrementalLearning ( double  u = 0.0001,
double  kw = 0,
double  kh = 0 
)
inline

Definition at line 15 of file svd_complete_incremental_learning.hpp.

Member Function Documentation

template<class MatType >
void mlpack::amf::SVDCompleteIncrementalLearning< MatType >::HUpdate ( const MatType &  V,
const arma::mat &  W,
arma::mat &  H 
)
inline
template<class MatType >
void mlpack::amf::SVDCompleteIncrementalLearning< MatType >::Initialize ( const MatType &  dataset,
const size_t  rank 
)
inline
template<class MatType >
void mlpack::amf::SVDCompleteIncrementalLearning< MatType >::WUpdate ( const MatType &  V,
arma::mat &  W,
const arma::mat &  H 
)
inline

The update rule for the basis matrix W.

The function takes in all the matrices and only changes the value of the W matrix.

Parameters
VInput matrix to be factorized.
WBasis matrix to be updated.
HEncoding matrix.

This file is part of mlpack 1.0.12.

mlpack is free software; you may redstribute 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 at line 47 of file svd_complete_incremental_learning.hpp.

References mlpack::amf::SVDCompleteIncrementalLearning< MatType >::currentItemIndex, mlpack::amf::SVDCompleteIncrementalLearning< MatType >::currentUserIndex, mlpack::amf::SVDCompleteIncrementalLearning< MatType >::kw, mlpack::amf::SVDCompleteIncrementalLearning< MatType >::m, mlpack::amf::SVDCompleteIncrementalLearning< MatType >::n, and mlpack::amf::SVDCompleteIncrementalLearning< MatType >::u.

Member Data Documentation

template<class MatType >
size_t mlpack::amf::SVDCompleteIncrementalLearning< MatType >::currentItemIndex
private
template<class MatType >
size_t mlpack::amf::SVDCompleteIncrementalLearning< MatType >::currentUserIndex
private
template<class MatType >
double mlpack::amf::SVDCompleteIncrementalLearning< MatType >::kh
private
template<class MatType >
double mlpack::amf::SVDCompleteIncrementalLearning< MatType >::kw
private
template<class MatType >
size_t mlpack::amf::SVDCompleteIncrementalLearning< MatType >::m
private
template<class MatType >
size_t mlpack::amf::SVDCompleteIncrementalLearning< MatType >::n
private
template<class MatType >
double mlpack::amf::SVDCompleteIncrementalLearning< MatType >::u
private

The documentation for this class was generated from the following file: