/// <summary>
/// Called on each testing iteration of the sequence model.
/// </summary>
/// <param name="sender">Specifies the event sender.</param>
/// <param name="e">Specifies the event args.</param>
private void m_mycaffe_OnTestingIteration(object sender, TestingIterationArgs <float> e)
{
float fAccuracy = m_rgAccuracyTraining.Average();
m_plotsSequenceAccuracyTrain.Add(m_nTotalSequences, fAccuracy * 100);
if (m_plotsSequenceAccuracyTrain.Count > 100)
{
m_plotsSequenceAccuracyTrain.RemoveAt(0);
}
m_rgAccuracyTesting.Add((float)e.Accuracy);
m_rgAccuracyTesting.RemoveAt(0);
fAccuracy = m_rgAccuracyTesting.Average();
m_plotsSequenceAccuracyTest.Add(m_nTotalSequences, fAccuracy * 100);
if (m_plotsSequenceAccuracyTest.Count > 100)
{
m_plotsSequenceAccuracyTest.RemoveAt(0);
}
PlotCollectionSet set = new PlotCollectionSet();
set.Add(m_plotsSequenceAccuracyTrain);
set.Add(m_plotsSequenceAccuracyTest);
Image img = SimpleGraphingControl.QuickRender(set, pbImageAccuracy.Width, pbImageAccuracy.Height, false, null, null, false, m_rgZeroLine);
m_bw.ReportProgress(1, new Tuple <Image, int>(img, 1));
}
private void m_solver_OnTestingIteration(object sender, TestingIterationArgs <T> e)
{
if (m_sw.Elapsed.TotalMilliseconds > 1000)
{
updateStatus(e.Iteration, m_solver.MaximumIteration, e.Accuracy, m_dfLastLoss, m_dfLastLearningRate);
m_sw.Restart();
}
}
