.TH "/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.2/src/mlpack/methods/sparse_coding/sparse_coding.hpp" 3 "Mon Aug 31 2020" "Version 3.3.2" "mlpack" \" -*- nroff -*-
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.SH NAME
/var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.2/src/mlpack/methods/sparse_coding/sparse_coding.hpp
.SH SYNOPSIS
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.PP
.SS "Classes"

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.RI "class \fBSparseCoding\fP"
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.RI "An implementation of Sparse Coding with Dictionary Learning that achieves sparsity via an l1-norm regularizer on the codes (LASSO) or an (l1+l2)-norm regularizer on the codes (the Elastic Net)\&. "
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.SS "Namespaces"

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.RI " \fBmlpack\fP"
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.RI "Linear algebra utility functions, generally performed on matrices or vectors\&. "
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.RI " \fBmlpack::sparse_coding\fP"
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.SH "Detailed Description"
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\fBAuthor:\fP
.RS 4
Nishant Mehta
.RE
.PP
Definition of the SparseCoding class, which performs L1 (LASSO) or L1+L2 (Elastic Net)-regularized sparse coding with dictionary learning
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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 \fBsparse_coding\&.hpp\fP\&.
.SH "Author"
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Generated automatically by Doxygen for mlpack from the source code\&.