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[programming challenge, SSN] * forgotten scaling, minor things

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This commit is contained in:
mateuszb 2012-05-31 20:13:30 +00:00
parent e34bcc85c3
commit f3475303e8
1 changed files with 19 additions and 2 deletions
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21
Odpalarka/main.cpp
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@ -353,7 +353,7 @@ double Framework::rateArt(const DuelParameters dp, CArtifactInstance * inst)
double LRgain = resultLR - resultsBase,
RLgain = resultsBase - resultRL;
return LRgain+RLgain;
return (LRgain+RLgain)/4;
}
double Framework::cmpArtSets(DuelParameters dp, TArtSet setL, TArtSet setR)
@ -538,6 +538,17 @@ double SSN::learn(const std::vector<Example> & input, const ParameterSet & param
net.set_callback(ANNCallback, NULL);
net.train_on_data(*td, 1000, 1000, 0.01);
// int exNum = 130;
//
// for(int exNum =0; exNum<input.size(); ++exNum)
// {
// double * testIn = genSSNinput(input[exNum].dp.sides[0], input[exNum].art, input[exNum].dp.bfieldType, input[exNum].dp.terType);
//
// double ans = *net.run(testIn);
// int g = 0;
// }
return net.test_data(*td);
}
@ -651,6 +662,12 @@ void SSNRun()
FANN::activation_function_enum possibleFuns[] = {FANN::SIGMOID_SYMMETRIC_STEPWISE, FANN::LINEAR,
FANN::SIGMOID, FANN::SIGMOID_STEPWISE, FANN::SIGMOID_SYMMETRIC};
// bestParams.actSteepHidden = 1.18;
// bestParams.actSteepnessOutput = 1.26;
// bestParams.hiddenActFun = FANN::SIGMOID_STEPWISE;
// bestParams.outActFun = FANN::SIGMOID_SYMMETRIC;
// bestParams.neuronsInHidden = 47;
for(int i=0; i<5000; i += 1)
{
SSN::ParameterSet ps;
@ -672,7 +689,7 @@ void SSNRun()
cout << "hid:\t" << i << " lmse:\t" << lmse << " tmse:\t" << tmse << std::endl;
}
//saving of best network
network.learn(trainingSet, bestParams);
double debugMSE = network.learn(trainingSet, bestParams);
network.save("network_config_file.net");
}