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mlpack::amf::SVDBatchLearning(3) MLPACK mlpack::amf::SVDBatchLearning(3)

NAME

mlpack::amf::SVDBatchLearning -

SYNOPSIS

Public Member Functions


SVDBatchLearning (double u=0.0002, double kw=0, double kh=0, double momentum=0.9, double min=-DBL_MIN, double max=DBL_MAX)
 
template<typename MatType > void HUpdate (const MatType &V, const arma::mat &W, arma::mat &H)
 
The update rule for the encoding matrix H. template<typename MatType > void Initialize (const MatType &dataset, const size_t rank)
 
template<typename MatType > void WUpdate (const MatType &V, arma::mat &W, const arma::mat &H)
 
The update rule for the basis matrix W.

Private Attributes


double kh
 
double kw
 
double max
 
arma::mat mH
 
double min
 
double momentum
 
arma::mat mW
 
double u
 

Detailed Description

Definition at line 29 of file svd_batch_learning.hpp.

Constructor & Destructor Documentation

mlpack::amf::SVDBatchLearning::SVDBatchLearning (doubleu = 0.0002, doublekw = 0, doublekh = 0, doublemomentum = 0.9, doublemin = -DBL_MIN, doublemax = DBL_MAX) [inline]

Definition at line 32 of file svd_batch_learning.hpp.

Member Function Documentation

template<typename MatType > void mlpack::amf::SVDBatchLearning::HUpdate (const MatType &V, const arma::mat &W, arma::mat &H) [inline]

The update rule for the encoding matrix H. The function takes in all the matrices and only changes the value of the H matrix.
Parameters:
V Input matrix to be factorized.
 
W Basis matrix.
 
H Encoding matrix to be updated.
Definition at line 101 of file svd_batch_learning.hpp.
References kh, mH, momentum, and u.

template<typename MatType > void mlpack::amf::SVDBatchLearning::Initialize (const MatType &dataset, const size_trank) [inline]

Definition at line 42 of file svd_batch_learning.hpp.
References mH, and mW.

template<typename MatType > void mlpack::amf::SVDBatchLearning::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:
V Input matrix to be factorized.
 
W Basis matrix to be updated.
 
H Encoding matrix.
Definition at line 61 of file svd_batch_learning.hpp.
References kw, momentum, mW, and u.

Member Data Documentation

double mlpack::amf::SVDBatchLearning::kh [private]

Definition at line 134 of file svd_batch_learning.hpp.
Referenced by HUpdate().

double mlpack::amf::SVDBatchLearning::kw [private]

Definition at line 133 of file svd_batch_learning.hpp.
Referenced by WUpdate().

double mlpack::amf::SVDBatchLearning::max [private]

Definition at line 136 of file svd_batch_learning.hpp.

arma::mat mlpack::amf::SVDBatchLearning::mH [private]

Definition at line 140 of file svd_batch_learning.hpp.
Referenced by HUpdate(), and Initialize().

double mlpack::amf::SVDBatchLearning::min [private]

Definition at line 135 of file svd_batch_learning.hpp.

double mlpack::amf::SVDBatchLearning::momentum [private]

Definition at line 137 of file svd_batch_learning.hpp.
Referenced by HUpdate(), and WUpdate().

arma::mat mlpack::amf::SVDBatchLearning::mW [private]

Definition at line 139 of file svd_batch_learning.hpp.
Referenced by Initialize(), and WUpdate().

double mlpack::amf::SVDBatchLearning::u [private]

Definition at line 132 of file svd_batch_learning.hpp.
Referenced by HUpdate(), and WUpdate().

Author

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Tue Sep 9 2014 Version 1.0.10