TEST_F(PlayCounterTest, InitializingCounstructor) {
PlayCounter playCounter(5);
EXPECT_FALSE(playCounter.isPlayed());
EXPECT_EQ(5, playCounter.getTimesPlayed());
testCycle(&playCounter);
}
TEST_F(PlayCounterTest, DefaultCounstructor) {
PlayCounter playCounter;
EXPECT_FALSE(playCounter.isPlayed());
EXPECT_EQ(0, playCounter.getTimesPlayed());
testCycle(&playCounter);
}
inline void NeuralNet::training_SCG (Iterator itTrainingsPatternBegin, Iterator itTrainingsPatternEnd,
Iterator itTestPatternBegin, Iterator itTestPatternEnd,
size_t batchSize,
size_t convergenceSteps)
{
std::cout << "START TRAINING : SCG" << std::endl;
size_t convergenceCount = 0;
NNTYPE minError = 1e10;
size_t cycleCount = 0;
size_t testCycleCount = 0;
NNTYPE testError = 1e20;
// until convergence
while (convergenceCount < convergenceSteps)
{
std::cout << "train cycle " << cycleCount << std::endl;
++cycleCount;
NNTYPE trainError = trainCycles_SCG (itTrainingsPatternBegin, itTrainingsPatternEnd, batchSize);
// std::cout << "test cycle" << std::endl;
if (testCycleCount % m_pSettings->testRepetitions == 0)
testError = testCycle (itTestPatternBegin, itTestPatternEnd);
++testCycleCount;
static double x = -1.0;
x += 1.0;
m_pSettings->resetPlot ("errors");
m_pSettings->addPoint ("trainErrors", m_pSettings->count_E, trainError);
m_pSettings->addPoint ("testErrors", m_pSettings->count_E, testError);
m_pSettings->plot ("errors", "training", "trainErrors", "points", "");
m_pSettings->plot ("errors", "training_", "trainErrors", "lines", "cspline");
m_pSettings->plot ("errors", "test", "testErrors", "points", "");
m_pSettings->plot ("errors", "test_", "testErrors", "lines", "cspline");
(*this).print (std::cout);
std::cout << "check convergence; minError " << minError << " current " << testError << " current convergence count " << convergenceCount << std::endl;
if (testError < minError)
{
convergenceCount = 0;
minError = testError;
}
else
++convergenceCount;
std::cout << "testError : " << testError << " trainError : " << trainError << std::endl;
}
std::cout << "END TRAINING" << std::endl;
}
