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/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2010 University of Edinburgh
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#include "Optimiser.h"
using namespace Moses;
using namespace std;
namespace Mira
{
size_t Perceptron::updateWeightsHopeFear(
ScoreComponentCollection& weightUpdate,
const vector< vector<ScoreComponentCollection> >& featureValuesHope,
const vector< vector<ScoreComponentCollection> >& featureValuesFear,
const vector< vector<float> >& dummy1,
const vector< vector<float> >& dummy2,
const vector< vector<float> >& dummy3,
const vector< vector<float> >& dummy4,
float perceptron_learning_rate,
size_t rank,
size_t epoch,
int updatePosition)
{
cerr << "Rank " << rank << ", epoch " << epoch << ", hope: " << featureValuesHope[0][0] << endl;
cerr << "Rank " << rank << ", epoch " << epoch << ", fear: " << featureValuesFear[0][0] << endl;
ScoreComponentCollection featureValueDiff = featureValuesHope[0][0];
featureValueDiff.MinusEquals(featureValuesFear[0][0]);
cerr << "Rank " << rank << ", epoch " << epoch << ", hope - fear: " << featureValueDiff << endl;
featureValueDiff.MultiplyEquals(perceptron_learning_rate);
weightUpdate.PlusEquals(featureValueDiff);
cerr << "Rank " << rank << ", epoch " << epoch << ", update: " << featureValueDiff << endl;
return 0;
}
}
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