/// <summary>
/// Main execution of the algorithm.
/// </summary>
public void Run()
{
//TODO: ensure we have a termination criteria and problem
_instance.Value = this;
if (!_initialized)
{
PerformInitialization();
}
//_instance.Value = this;
while (!TerminationCriterion.Terminate(this))
{
//_instance.Value = this; //TODO: set instance for multipopulation?
PerformIteration();
IterationComplete?.Invoke(this, this);
//_instance.Value = null;
}
AlgorithmComplete?.Invoke(this, this);
_instance.Value = null;
}
/// <summary>
/// Uczy sieć neuronową metodą spadku w kierunku gradientu.
/// </summary>
/// <param name="trainingData">Dane uczące.</param>
/// <param name="ct">Token pozwalający przerwać proces uczenia poprzez sygnał z zewnątrz.</param>
public void Train(
IEnumerable <IDataPoint> trainingData,
CancellationToken ct)
{
for (var i = 1;; i++)
{
foreach (var miniBatch in trainingData.Chunk(BatchSize))
{
UpdateMiniBatch(miniBatch, BatchSize, LearningRate);
if (ct.IsCancellationRequested)
{
break;
}
}
IterationComplete?.Invoke(i);
if (ct.IsCancellationRequested)
{
break;
}
}
}
private void OnIterationComplete(GmresIterationCompleteEventArgs e) => IterationComplete?.Invoke(this, e);
