LaplacianInferenceBase.h

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/*
 * Copyright (c) The Shogun Machine Learning Toolbox
 * Written (w) 2014 Wu Lin
 * Written (W) 2013 Roman Votyakov
 * 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
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 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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 */
#ifndef CLAPLACIANINFERENCEBASE_H_
#define CLAPLACIANINFERENCEBASE_H_

#include <shogun/lib/config.h>

#ifdef HAVE_EIGEN3

#include <shogun/machine/gp/InferenceMethod.h>

namespace shogun
{

class CLaplacianInferenceBase: public CInferenceMethod
{
public:
    CLaplacianInferenceBase();

    CLaplacianInferenceBase(CKernel* kernel, CFeatures* features,
            CMeanFunction* mean, CLabels* labels, CLikelihoodModel* model);

    virtual ~CLaplacianInferenceBase();

    virtual EInferenceType get_inference_type() const { return INF_LAPLACIAN; }

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

    virtual SGVector<float64_t> get_alpha();

    virtual SGMatrix<float64_t> get_cholesky();

    virtual SGMatrix<float64_t> get_posterior_covariance();

    virtual void update();

    virtual float64_t get_newton_tolerance() { return m_tolerance; }

    virtual void set_newton_tolerance(float64_t tol) { m_tolerance=tol; }

    virtual int32_t get_newton_iterations() { return m_iter; }

    virtual void set_newton_iterations(int32_t iter) { m_iter=iter; }

    virtual float64_t get_minimization_tolerance() { return m_opt_tolerance; }

    virtual void set_minimization_tolerance(float64_t tol) { m_opt_tolerance=tol; }

    virtual float64_t get_minimization_max() { return m_opt_max; }

    virtual void set_minimization_max(float64_t max) { m_opt_max=max; }

private:
    void init();

protected:
    virtual void compute_gradient();

    virtual void update_approx_cov()=0;

    SGVector<float64_t> m_dlp;

    SGVector<float64_t> m_W;

    SGVector<float64_t> m_mu;

    SGMatrix<float64_t> m_Sigma;

    float64_t m_tolerance;

    index_t m_iter;

    float64_t m_opt_tolerance;

    float64_t m_opt_max;
};
}
#endif /* HAVE_EIGEN3 */
#endif /* CLAPLACIANINFERENCEBASE_H_ */