GaussianARDSparseKernel.h

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/*
 * Copyright (c) The Shogun Machine Learning Toolbox
 * Written (w) 2015 Wu Lin
 * All rights reserved.
 *
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 * modification, are permitted provided that the following conditions are met:
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 * 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
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 *
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#ifndef GAUSSIANARDSPARSEKERNEL_H
#define GAUSSIANARDSPARSEKERNEL_H

#include <shogun/lib/config.h>

#include <shogun/lib/common.h>
#include <shogun/kernel/GaussianARDKernel.h>

namespace shogun
{

class CGaussianARDSparseKernel: public CGaussianARDKernel
{
public:
    CGaussianARDSparseKernel();

    virtual EKernelType get_kernel_type() { return K_GAUSSIANARDSPARSE; }

    virtual const char* get_name() const { return "GaussianARDSparseKernel"; }

    virtual ~CGaussianARDSparseKernel();

private:
    void initialize_sparse_kernel();

#ifdef HAVE_LINALG_LIB
public:
    CGaussianARDSparseKernel(int32_t size);

    CGaussianARDSparseKernel(CDotFeatures* l, CDotFeatures* r,
        int32_t size=10);

    static CGaussianARDSparseKernel* obtain_from_generic(CKernel* kernel);

    virtual SGMatrix<float64_t> get_parameter_gradient(const TParameter* param,
        index_t index=-1);

    virtual SGVector<float64_t> get_parameter_gradient_diagonal(
        const TParameter* param, index_t index=-1);
#endif /* HAVE_LINALG_LIB */
};
}

#endif /* GAUSSIANARDSPARSEKERNEL_H */