other versions
- jessie 1.0.10-1
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)
Private Attributes¶
double kh
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¶
Generated automatically by Doxygen for MLPACK from the source code.Tue Sep 9 2014 | Version 1.0.10 |