SHOGUN  v3.2.0
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GradientEvaluation.cpp
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00001 /*
00002  * This program is free software; you can redistribute it and/or modify
00003  * it under the terms of the GNU General Public License as published by
00004  * the Free Software Foundation; either version 3 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 2013 Roman Votyakov
00008  * Copyright (C) 2012 Jacob Walker
00009  */
00010 
00011 #include <shogun/evaluation/GradientEvaluation.h>
00012 #include <shogun/evaluation/GradientResult.h>
00013 
00014 using namespace shogun;
00015 
00016 CGradientEvaluation::CGradientEvaluation() : CMachineEvaluation()
00017 {
00018     init();
00019 }
00020 
00021 CGradientEvaluation::CGradientEvaluation(CMachine* machine, CFeatures* features,
00022         CLabels* labels, CEvaluation* evaluation_crit, bool autolock) :
00023         CMachineEvaluation(machine, features, labels, NULL, evaluation_crit, autolock)
00024 {
00025     init();
00026 }
00027 
00028 void CGradientEvaluation::init()
00029 {
00030     m_diff=NULL;
00031     m_parameter_dictionary=NULL;
00032 
00033     SG_ADD((CSGObject**)&m_diff, "differentiable_function", "Differentiable "
00034             "function", MS_AVAILABLE);
00035 }
00036 
00037 CGradientEvaluation::~CGradientEvaluation()
00038 {
00039     SG_UNREF(m_diff);
00040     SG_UNREF(m_parameter_dictionary);
00041 }
00042 
00043 void CGradientEvaluation::update_parameter_dictionary()
00044 {
00045     SG_UNREF(m_parameter_dictionary);
00046 
00047     m_parameter_dictionary=new CMap<TParameter*, CSGObject*>();
00048     m_diff->build_gradient_parameter_dictionary(m_parameter_dictionary);
00049     SG_REF(m_parameter_dictionary);
00050 }
00051 
00052 CEvaluationResult* CGradientEvaluation::evaluate()
00053 {
00054     if (update_parameter_hash())
00055         update_parameter_dictionary();
00056 
00057     // create gradient result object
00058     CGradientResult* result=new CGradientResult();
00059     SG_REF(result);
00060 
00061     // set function value
00062     result->set_value(m_diff->get_value());
00063 
00064     CMap<TParameter*, SGVector<float64_t> >* gradient=m_diff->get_gradient(
00065             m_parameter_dictionary);
00066 
00067     // set gradient and parameter dictionary
00068     result->set_gradient(gradient);
00069     result->set_paramter_dictionary(m_parameter_dictionary);
00070 
00071     SG_UNREF(gradient);
00072 
00073     return result;
00074 }
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