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KernelSelectionStrategy.h
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KernelSelectionStrategy.h
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/*
* Copyright (c) The Shogun Machine Learning Toolbox
* Written (w) 2012 - 2013 Heiko Strathmann
* 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 KERNEL_SELECTION_STRAGERY_H_
#define KERNEL_SELECTION_STRAGERY_H_
#include <memory>
#include <shogun/base/SGObject.h>
namespace shogun
{
class CKernel;
class CMMD;
template <class> class SGVector;
template <class> class SGMatrix;
namespace internal
{
class KernelManager;
}
enum EKernelSelectionMethod : uint32_t
{
KSM_MEDIAN_HEURISTIC,
KSM_MAXIMIZE_MMD,
KSM_MAXIMIZE_POWER,
KSM_MAXIMIZE_XVALIDATION,
KSM_AUTO=KSM_MAXIMIZE_POWER
};
class CKernelSelectionStrategy : public CSGObject
{
friend class CMMD;
public:
CKernelSelectionStrategy();
explicit CKernelSelectionStrategy(EKernelSelectionMethod method);
CKernelSelectionStrategy(EKernelSelectionMethod method, bool weighted);
CKernelSelectionStrategy(EKernelSelectionMethod method, index_t num_runs, float64_t alpha);
CKernelSelectionStrategy(const CKernelSelectionStrategy& other)=delete;
CKernelSelectionStrategy& operator=(const CKernelSelectionStrategy& other)=delete;
virtual ~CKernelSelectionStrategy();
CKernelSelectionStrategy& use_method(EKernelSelectionMethod method);
CKernelSelectionStrategy& use_num_runs(index_t num_runs);
CKernelSelectionStrategy& use_alpha(float64_t alpha);
CKernelSelectionStrategy& use_weighted(bool weighted);
void add_kernel(CKernel* kernel);
CKernel* select_kernel(CMMD* estimator);
virtual const char* get_name() const;
void erase_intermediate_results();
SGMatrix<float64_t> get_measure_matrix();
SGVector<float64_t> get_measure_vector();
private:
struct Self;
std::unique_ptr<Self> self;
void init();
const internal::KernelManager& get_kernel_mgr() const;
};
}
#endif // KERNEL_SELECTION_STRAGERY_H_