mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-27 05:55:02 +03:00
54 lines
2.1 KiB
C++
54 lines
2.1 KiB
C++
/***********************************************************************
|
|
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;
|
|
}
|
|
|
|
}
|
|
|