GaussianProcessRegression.h

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/*
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 3 of the License, or
 * (at your option) any later version.
 *
 * Written (W) 2013 Roman Votyakov
 * Copyright (C) 2012 Jacob Walker
 * Copyright (C) 2013 Roman Votyakov
 */

#ifndef _GAUSSIANPROCESSREGRESSION_H_
#define _GAUSSIANPROCESSREGRESSION_H_


#include <shogun/lib/config.h>
#include <shogun/machine/GaussianProcessMachine.h>
#include <shogun/machine/gp/Inference.h>
#include <shogun/features/Features.h>
#include <shogun/labels/Labels.h>

namespace shogun
{

class CInference;
class CFeatures;
class CLabels;

class CGaussianProcessRegression : public CGaussianProcessMachine
{
public:
    MACHINE_PROBLEM_TYPE(PT_REGRESSION);

    CGaussianProcessRegression();

    CGaussianProcessRegression(CInference* method);

    virtual ~CGaussianProcessRegression();

    virtual CRegressionLabels* apply_regression(CFeatures* data=NULL);

    SGVector<float64_t> get_mean_vector(CFeatures* data);

    SGVector<float64_t> get_variance_vector(CFeatures* data);

    virtual EMachineType get_classifier_type()
    {
        return CT_GAUSSIANPROCESSREGRESSION;
    }

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

protected:
    virtual bool train_machine(CFeatures* data=NULL);

    virtual bool is_label_valid(CLabels *lab) const
    {
        return lab->get_label_type()==LT_REGRESSION;
    }
};
}
#endif /* _GAUSSIANPROCESSREGRESSION_H_ */