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src
shogun
converter
KernelLocallyLinearEmbedding.cpp
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2011-2013 Sergey Lisitsyn
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* Copyright (C) 2011-2013 Berlin Institute of Technology and Max-Planck-Society
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*/
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#include <
shogun/converter/KernelLocallyLinearEmbedding.h
>
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#ifdef HAVE_EIGEN3
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#include <
shogun/io/SGIO.h
>
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#include <shogun/lib/tapkee/tapkee_shogun.hpp>
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#ifdef HAVE_PTHREAD
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#include <pthread.h>
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#endif
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using namespace
shogun;
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CKernelLocallyLinearEmbedding::CKernelLocallyLinearEmbedding
() :
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CLocallyLinearEmbedding
()
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{
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}
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CKernelLocallyLinearEmbedding::CKernelLocallyLinearEmbedding
(
CKernel
* kernel) :
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CLocallyLinearEmbedding
()
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{
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set_kernel
(kernel);
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}
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const
char
*
CKernelLocallyLinearEmbedding::get_name
()
const
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{
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return
"KernelLocallyLinearEmbedding"
;
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};
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CKernelLocallyLinearEmbedding::~CKernelLocallyLinearEmbedding
()
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{
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}
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CFeatures
*
CKernelLocallyLinearEmbedding::apply
(
CFeatures
* features)
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{
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ASSERT
(features)
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SG_REF
(features);
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// get dimensionality and number of vectors of data
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int32_t N = features->
get_num_vectors
();
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if
(
m_k
>=N)
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SG_ERROR
(
"Number of neighbors (%d) should be less than number of objects (%d).\n"
,
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m_k
, N);
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// compute kernel matrix
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ASSERT
(
m_kernel
)
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m_kernel
->
init
(features,features);
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CDenseFeatures<float64_t>
* embedding =
embed_kernel
(
m_kernel
);
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m_kernel
->
cleanup
();
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SG_UNREF
(features);
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return
(
CFeatures
*)embedding;
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}
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CDenseFeatures<float64_t>
*
CKernelLocallyLinearEmbedding::embed_kernel
(
CKernel
* kernel)
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{
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TAPKEE_PARAMETERS_FOR_SHOGUN parameters;
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parameters.n_neighbors =
m_k
;
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parameters.eigenshift =
m_nullspace_shift
;
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parameters.method = SHOGUN_KERNEL_LOCALLY_LINEAR_EMBEDDING;
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parameters.target_dimension =
m_target_dim
;
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parameters.kernel = kernel;
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CDenseFeatures<float64_t>
* embedding = tapkee_embed(parameters);
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return
embedding;
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}
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#endif
/* HAVE_EIGEN3 */
SHOGUN
Machine Learning Toolbox - Documentation