.TH "/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.1/src/mlpack/methods/regularized_svd/regularized_svd.hpp" 3 "Sun Aug 30 2020" "Version 3.1.1" "mlpack" \" -*- nroff -*-
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.SH NAME
/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.1/src/mlpack/methods/regularized_svd/regularized_svd.hpp
.SH SYNOPSIS
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.PP
.SS "Classes"

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.RI "class \fBRegularizedSVD< OptimizerType >\fP"
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.RI "Regularized SVD is a matrix factorization technique that seeks to reduce the error on the training set, that is on the examples for which the ratings have been provided by the users\&. "
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.SS "Namespaces"

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.RI " \fBmlpack\fP"
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.RI "strip_type\&.hpp "
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.RI " \fBmlpack::svd\fP"
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.SH "Detailed Description"
.PP 

.PP
\fBAuthor:\fP
.RS 4
Siddharth Agrawal
.RE
.PP
An implementation of Regularized SVD\&.
.PP
mlpack is free software; you may redistribute 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\&. 
.PP
Definition in file \fBregularized_svd\&.hpp\fP\&.
.SH "Author"
.PP 
Generated automatically by Doxygen for mlpack from the source code\&.