MeanFunction.h

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/*
 * Copyright (c) The Shogun Machine Learning Toolbox
 * Written (W) 2013 Roman Votyakov
 * Written (W) 2012 Jacob Walker
 * 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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 */
#ifndef CMEANFUNCTION_H_
#define CMEANFUNCTION_H_

#include <shogun/lib/config.h>

#include <shogun/base/SGObject.h>
#include <shogun/base/Parameter.h>
#include <shogun/features/Features.h>

namespace shogun
{

class CMeanFunction : public CSGObject
{
public:
    CMeanFunction() { }

    virtual ~CMeanFunction() { }

    virtual SGVector<float64_t> get_mean_vector(const CFeatures* features) const=0;

    virtual SGVector<float64_t> get_parameter_derivative(const CFeatures* features,
            const TParameter* param, index_t index=-1)
    {
        SG_ERROR("Can't compute derivative wrt %s parameter\n", param->m_name)
        return SGVector<float64_t>();
    }
};
}
#endif /* CMEANFUNCTION_H_ */