public TraintimeEngine(int id, NeuralNetwork nn, StringCollection listOfInputAttributes, string outputAttribute)
{
_RuntimeEngine = new RuntimeEngine(id, nn, listOfInputAttributes);
_ListOfInputAttributes = listOfInputAttributes;
_OutputAttribute = outputAttribute;
_NeuralNetwork = nn;
}
public ValidationEngine(int id, NeuralNetwork neuralNetwork, List <string> listOfInputAttributes, string outputAttribute, float predictionThreshold, float positivePredictionLimit, float negativePredictionLimit)
{
ID = id;
_NeuralNetwork = neuralNetwork;
_ListOfInputAttributes = listOfInputAttributes;
_OutputAttribute = outputAttribute;
_RuntimeEngine = new RuntimeEngine(1, neuralNetwork, listOfInputAttributes);
_MCCCalculator = new MatthewsCorrelationCoefficientCalculator(predictionThreshold, positivePredictionLimit, negativePredictionLimit);
}
public TraintimeEngine(int id, NeuralNetwork nn, List <string> listOfInputAttributes, string outputAttribute, float momentum, float predictionThreshold, float positivePredictionLimit, float negativePredictionLimit)
{
_RuntimeEngine = new RuntimeEngine(id, nn, listOfInputAttributes);
_ListOfInputAttributes = listOfInputAttributes;
_OutputAttribute = outputAttribute;
_NeuralNetwork = nn;
_NeuronErrorDictionary = new Dictionary <int, float>();
foreach (Neuron neuron in _NeuralNetwork._ListOfNeurons)
{
_NeuronErrorDictionary.Add(neuron.ID, 0.00f);
}
_MCCCalculator = new MatthewsCorrelationCoefficientCalculator(predictionThreshold, positivePredictionLimit, negativePredictionLimit);
_Momentum = momentum;
_PreviousWeightDictionary = new Dictionary <int, float>();
foreach (SynapticConnection synaptic in _NeuralNetwork._ListOfSynapticConnections)
{
_PreviousWeightDictionary.Add(synaptic.ID, 0.00f);
}
}
