mlpack_amf_SVDIncompleteIncrementalLearning: Mlpack::amf::svdincompleteincrementallearning -

SYNOPSIS

Public Member Functions

SVDIncompleteIncrementalLearning (double u=0.001, double kw=0, double kh=0)

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

size_t currentUserIndex

double kh

double kw

size_t m

size_t n

double u

Detailed Description

Definition at line 8 of file svd_incomplete_incremental_learning.hpp.

Constructor & Destructor Documentation

mlpack::amf::SVDIncompleteIncrementalLearning::SVDIncompleteIncrementalLearning (doubleu = \fC0.001\fP, doublekw = \fC0\fP, doublekh = \fC0\fP)\fC [inline]\fP

Definition at line 11 of file svd_incomplete_incremental_learning.hpp.

Member Function Documentation

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

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 81 of file svd_incomplete_incremental_learning.hpp.

References currentUserIndex, kh, m, n, and u.

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

Definition at line 18 of file svd_incomplete_incremental_learning.hpp.

References currentUserIndex, m, and n.

template<typename MatType > void mlpack::amf::SVDIncompleteIncrementalLearning::WUpdate (const MatType &V, arma::mat &W, const arma::mat &H)\fC [inline]\fP

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.

This file is part of MLPACK 1.0.10.

MLPACK is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with MLPACK. If not, see http://www.gnu.org/licenses/.

Definition at line 53 of file svd_incomplete_incremental_learning.hpp.

References currentUserIndex, kw, n, and u.

Member Data Documentation

size_t mlpack::amf::SVDIncompleteIncrementalLearning::currentUserIndex\fC [private]\fP

Definition at line 109 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate(), Initialize(), and WUpdate().

double mlpack::amf::SVDIncompleteIncrementalLearning::kh\fC [private]\fP

Definition at line 104 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate().

double mlpack::amf::SVDIncompleteIncrementalLearning::kw\fC [private]\fP

Definition at line 103 of file svd_incomplete_incremental_learning.hpp.

Referenced by WUpdate().

size_t mlpack::amf::SVDIncompleteIncrementalLearning::m\fC [private]\fP

Definition at line 107 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate(), and Initialize().

size_t mlpack::amf::SVDIncompleteIncrementalLearning::n\fC [private]\fP

Definition at line 106 of file svd_incomplete_incremental_learning.hpp.