GaussianProcessMachine.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
 * 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.
 *
 * Code adapted from
 * Gaussian Process Machine Learning Toolbox
 * http://www.gaussianprocess.org/gpml/code/matlab/doc/
 * and
 * https://gist.github.com/yorkerlin/8a36e8f9b298aa0246a4
 */

#ifndef _GAUSSIANPROCESSMACHINE_H_
#define _GAUSSIANPROCESSMACHINE_H_

#include <shogun/lib/config.h>
#include <shogun/machine/Machine.h>
#include <shogun/machine/gp/Inference.h>


namespace shogun
{

class CGaussianProcessMachine : public CMachine
{
public:
    CGaussianProcessMachine();

    CGaussianProcessMachine(CInference* method);

    virtual ~CGaussianProcessMachine();

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

    SGVector<float64_t> get_posterior_means(CFeatures* data);

    SGVector<float64_t> get_posterior_variances(CFeatures* data);

    CInference* get_inference_method() const
    {
        SG_REF(m_method);
        return m_method;
    }

    void set_inference_method(CInference* method)
    {
        SG_REF(method);
        SG_UNREF(m_method);
        m_method=method;
    }

    virtual void set_labels(CLabels* lab)
    {
        CMachine::set_labels(lab);
        m_method->set_labels(lab);
    }

    virtual void store_model_features() { }

private:
    void init();

protected:
    CInference* m_method;
};
}
#endif /* _GAUSSIANPROCESSMACHINE_H_ */