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MultiKernelMMD.h
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MultiKernelMMD.h
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2014 - 2016 Soumyajit De
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Shogun Development Team.
*/
#ifndef MULTI_KERNEL_MMD_H_
#define MULTI_KERNEL_MMD_H_
#include <vector>
#include <shogun/lib/SGVector.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/statistical_testing/internals/mmd/ComputeMMD.h>
#include <shogun/statistical_testing/internals/KernelManager.h>
namespace shogun
{
namespace internal
{
namespace mmd
{
struct MultiKernelMMD : ComputeMMD
{
MultiKernelMMD(index_t n_x, index_t n_y, EStatisticType stype) : ComputeMMD(n_x, n_y, stype)
{
}
SGVector<float64_t> operator()(const KernelManager& kernel_mgr) const
{
SG_SDEBUG("Entering!\n");
std::vector<terms_t> terms(kernel_mgr.num_kernels());
const index_t size=m_n_x+m_n_y;
for (auto j=0; j<size; ++j)
{
for (auto i=j; i<size; ++i)
{
for (size_t k=0; k<kernel_mgr.num_kernels(); ++k)
{
auto kernel=kernel_mgr.kernel_at(k)->kernel(i, j);
add_term(terms[k], kernel, i, j);
}
}
}
SGVector<float64_t> result(kernel_mgr.num_kernels());
for (size_t k=0; k<kernel_mgr.num_kernels(); ++k)
{
result[k]=compute(terms[k]);
SG_SDEBUG("result[%d] = %f!\n", k, result[k]);
}
terms.resize(0);
SG_SDEBUG("Leaving!\n");
return result;
}
};
}
}
}
#endif // MULTI_KERNEL_MMD_H_