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ShiftInvariantKernel_unittest.cc
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ShiftInvariantKernel_unittest.cc
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 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.
*/
#include <shogun/lib/config.h>
#ifdef HAVE_CXX11
#include <shogun/base/some.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/kernel/ShiftInvariantKernel.h>
#include <shogun/distance/Distance.h>
#include <shogun/distance/EuclideanDistance.h>
#include <shogun/features/FeatureTypes.h>
#include <shogun/features/DenseFeatures.h>
#include <gtest/gtest.h>
#include <gmock/gmock.h>
#include <algorithm>
using namespace shogun;
using std::iota;
using std::for_each;
class CShiftInvariantKernelMock : public CShiftInvariantKernel
{
public:
CShiftInvariantKernelMock() : CShiftInvariantKernel()
{
m_distance=new CEuclideanDistance();
SG_REF(m_distance);
}
float64_t get_distance(int32_t a, int32_t b) const
{
return CShiftInvariantKernel::distance(a, b);
}
MOCK_METHOD2(compute, float64_t(int32_t, int32_t));
MOCK_METHOD0(get_kernel_type, EKernelType());
MOCK_METHOD0(get_feature_type, EFeatureType());
MOCK_METHOD0(get_feature_class, EFeatureClass());
};
TEST(ShiftInvariantKernel, precompute_distance_asymmetric)
{
const index_t dim=1;
const index_t N=10;
const index_t M=15;
SGMatrix<float64_t> data_1(dim, N);
SGMatrix<float64_t> data_2(dim, M);
iota(data_1.data(), data_1.data()+data_1.size(), 1);
iota(data_2.data(), data_2.data()+data_2.size(), data_1.size()+1);
for_each(data_1.data(), data_1.data()+data_1.size(), [&data_1](float64_t& val) { val=val/data_1.size(); });
for_each(data_2.data(), data_2.data()+data_2.size(), [&data_2](float64_t& val) { val=val/data_2.size(); });
auto feats_1=some<CDenseFeatures<float64_t> >(data_1);
auto feats_2=some<CDenseFeatures<float64_t> >(data_2);
auto kernel_1=some<CShiftInvariantKernelMock>();
auto kernel_2=some<CShiftInvariantKernelMock>();
kernel_1->init(feats_1, feats_2);
kernel_2->init(feats_1, feats_2);
kernel_1->precompute_distance();
for (auto i=0; i<N; ++i)
{
for (auto j=0; j<M; ++j)
EXPECT_NEAR(kernel_1->get_distance(i, j), kernel_1->get_distance(i, j), 1E-6);
}
}
TEST(ShiftInvariantKernel, precompute_distance_symmetric)
{
const index_t dim=1;
const index_t N=10;
SGMatrix<float64_t> data(dim, N);
iota(data.data(), data.data()+data.size(), 1);
for_each(data.data(), data.data()+data.size(), [&data](float64_t& val) { val=val/data.size(); });
auto feats=some<CDenseFeatures<float64_t> >(data);
auto kernel_1=some<CShiftInvariantKernelMock>();
auto kernel_2=some<CShiftInvariantKernelMock>();
kernel_1->init(feats, feats);
kernel_2->init(feats, feats);
kernel_1->precompute_distance();
for (auto i=0; i<N; ++i)
{
for (auto j=0; j<N; ++j)
EXPECT_NEAR(kernel_1->get_distance(i, j), kernel_1->get_distance(i, j), 1E-6);
}
}
#endif // HAVE_CXX11