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