VwNonAdaptiveLearner.h

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00001 /*
00002  * Copyright (c) 2009 Yahoo! Inc.  All rights reserved.  The copyrights
00003  * embodied in the content of this file are licensed under the BSD
00004  * (revised) open source license.
00005  *
00006  * This program is free software; you can redistribute it and/or modify
00007  * it under the terms of the GNU General Public License as published by
00008  * the Free Software Foundation; either version 3 of the License, or
00009  * (at your option) any later version.
00010  *
00011  * Written (W) 2011 Shashwat Lal Das
00012  * Adaptation of Vowpal Wabbit v5.1.
00013  * Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society.
00014  */
00015 
00016 #ifndef _VW_NONADAPTIVE_H__
00017 #define _VW_NONADAPTIVE_H__
00018 
00019 #include <shogun/classifier/vw/VwLearner.h>
00020 #include <shogun/classifier/vw/vw_common.h>
00021 
00022 namespace shogun
00023 {
00030 class CVwNonAdaptiveLearner: public CVwLearner
00031 {
00032 public:
00036     CVwNonAdaptiveLearner();
00037 
00044     CVwNonAdaptiveLearner(CVwRegressor* regressor, CVwEnvironment* vw_env);
00045 
00049     virtual ~CVwNonAdaptiveLearner();
00050 
00057     virtual void train(VwExample* &ex, float32_t update);
00058 
00064     virtual const char* get_name() const { return "VwNonAdaptiveLearner"; }
00065 
00066 private:
00076     void quad_update(float32_t* weights, VwFeature& page_feature,
00077              v_array<VwFeature> &offer_features, vw_size_t mask,
00078              float32_t update);
00079 };
00080 }
00081 #endif // _VW_NONADAPTIVE_H__
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