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Base.h
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Base.h
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2016 Heiko Strathmann
* 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 KERNEL_EXP_FAMILY_KERNEL_BASE__
#define KERNEL_EXP_FAMILY_KERNEL_BASE__
#include <shogun/lib/config.h>
#include <shogun/lib/common.h>
#include <shogun/io/SGIO.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/lib/SGVector.h>
#include <memory>
namespace shogun
{
namespace kernel_exp_family_impl
{
namespace kernel
{
#define NOTIMPLEMENTED SG_SERROR("Kernel function not implemented yet!.\n");
class Base
{
public :
Base();
virtual ~Base() {};
virtual std::shared_ptr<kernel::Base> shallow_copy() const=0;
virtual void set_rhs(SGMatrix<float64_t> rhs);
virtual void set_rhs(SGVector<float64_t> rhs);
virtual void set_rhs(); // to make it symmetric
virtual void set_lhs(SGMatrix<float64_t> lhs);
virtual void set_lhs(SGVector<float64_t> lhs);
index_t get_num_dimensions() const;
index_t get_num_lhs() const;
index_t get_num_rhs() const;
bool is_symmetric() const;
virtual float64_t kernel(index_t idx_a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> kernel_all() const;
virtual SGMatrix<float64_t> dx_dy_dy(index_t idx_a, index_t idx_b) const=0;
virtual float64_t dx_dx_dy_dy_sum(index_t idx_a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> dx_dy(index_t idx_a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> dx_dy_all() const;
virtual SGVector<float64_t> dx(index_t a, index_t idx_b) const=0;
virtual float64_t sum_dx(index_t idx_a, index_t idx_b) const;
virtual SGMatrix<float64_t> dx_all() const;
virtual SGVector<float64_t> dy(index_t a, index_t idx_b) const=0;
virtual float64_t sum_dy(index_t idx_a, index_t idx_b) const;
virtual SGMatrix<float64_t> dy_all() const;
virtual SGVector<float64_t> dx_sum_dy(index_t idx_a, index_t idx_b) const;
virtual SGMatrix<float64_t> dx_sum_dy_all() const;
virtual SGVector<float64_t> sum_dx_dy(index_t idx_a, index_t idx_b) const;
virtual SGVector<float64_t> sum_dx_dy_dy(index_t idx_a, index_t idx_b) const;
virtual float64_t sum_dx_sum_dy(index_t idx_a, index_t idx_b) const;
virtual SGMatrix<float64_t> sum_dx_sum_dy_all() const;
virtual SGVector<float64_t> dx_dx(index_t a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> dx_i_dx_i_dx_j(index_t a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> dx_i_dx_j(index_t a, index_t idx_b) const=0;
virtual SGMatrix<float64_t> dx_i_dx_j_dx_k_dot_vec(index_t idx_a, index_t idx_b, const SGVector<float64_t>& vec) const=0;
virtual SGMatrix<float64_t> dx_i_dx_j_dx_k_dx_k_row_sum(index_t idx_a, index_t idx_b) const=0;
virtual SGVector<float64_t> dy_dy(index_t a, index_t idx_b) const=0;
virtual float64_t sum_dy_dy(index_t a, index_t idx_b) const;
virtual SGMatrix<float64_t> dy_i_dy_j(index_t a, index_t idx_b) const=0;
virtual SGVector<float64_t> dx_sum_dy_dy(index_t a, index_t idx_b) const;
virtual float64_t sum_dx_sum_dy_dy(index_t a, index_t idx_b) const;
// old develop code
virtual SGMatrix<float64_t> dx_dx_dy_dy(index_t idx_a, index_t idx_b) const=0;
// nystrom with dimension subsampling parts
virtual float64_t difference_component(index_t idx_a, index_t idx_b, index_t i) const=0;
virtual float64_t dx_dy_component(const index_t idx_a, index_t idx_b, index_t i, index_t j) const=0;
virtual float64_t dx_dy_dy_component(index_t idx_a, index_t idx_b,
index_t i, index_t j) const=0;
virtual float64_t dx_dx_dy_dy_component(index_t idx_a, index_t idx_b, index_t i, index_t j) const=0;
virtual float64_t dx_component(index_t idx_a, index_t idx_b, index_t i) const=0;
virtual float64_t dx_dx_component(index_t idx_a, index_t idx_b, index_t i) const=0;
virtual SGVector<float64_t> dx_i_dx_i_dx_j_component(index_t idx_a, index_t idx_b, index_t i) const=0;
virtual SGVector<float64_t> dx_i_dx_j_component(index_t idx_a, index_t idx_b, index_t i) const=0;
virtual float64_t dx_i_dx_j_dx_k_dot_vec_component(index_t idx_a, index_t idx_b, const SGVector<float64_t>& vec, index_t i, index_t j) const=0;
virtual float64_t dx_i_dx_j_dx_k_dx_k_row_sum_component(index_t idx_a, index_t idx_b, index_t i, index_t j) const=0;
virtual void precompute() {};
protected:
SGMatrix<float64_t> m_lhs;
SGMatrix<float64_t> m_rhs;
};
};
};
}
#endif // KERNEL_EXP_FAMILY_KERNEL_BASE__