Reference

mlpack_amf_SVDIncompleteIncrementalLearning(3)

NAME

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 = 0.001, doublekw = 0, doublekh = 0) [inline]

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) [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 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) [inline]

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) [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.

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 [private]

Definition at line 109 of file svd_incomplete_incremental_learning.hpp.

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

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

Definition at line 104 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate().

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

Definition at line 103 of file svd_incomplete_incremental_learning.hpp.

Referenced by WUpdate().

size_t mlpack::amf::SVDIncompleteIncrementalLearning::m [private]

Definition at line 107 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate(), and Initialize().

size_t mlpack::amf::SVDIncompleteIncrementalLearning::n [private]

Definition at line 106 of file svd_incomplete_incremental_learning.hpp.

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

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

Definition at line 102 of file svd_incomplete_incremental_learning.hpp.

Referenced by HUpdate(), and WUpdate().

Author

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