VwAdaptiveLearner.h

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/*
 * Copyright (c) 2009 Yahoo! Inc.  All rights reserved.  The copyrights
 * embodied in the content of this file are licensed under the BSD
 * (revised) open source license.
 *
 * 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) 2011 Shashwat Lal Das
 * Adaptation of Vowpal Wabbit v5.1.
 * Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society.
 */

#ifndef _VW_ADAPTIVE_H__
#define _VW_ADAPTIVE_H__

#include <shogun/classifier/vw/VwLearner.h>
#include <shogun/classifier/vw/vw_common.h>

namespace shogun
{
class CVwAdaptiveLearner: public CVwLearner
{
public:
    CVwAdaptiveLearner();

    CVwAdaptiveLearner(CVwRegressor* regressor, CVwEnvironment* vw_env);

    virtual ~CVwAdaptiveLearner();

    virtual void train(VwExample* &ex, float32_t update);

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

private:
    void quad_update(float32_t* weights, VwFeature& page_feature,
             v_array<VwFeature> &offer_features, vw_size_t mask,
             float32_t update, float32_t g, VwExample* ex, vw_size_t& ctr);
};
}

#endif // _VW_ADAPTIVE_H__