public IWebPostClassifier GetClassifier()
{
if (type == WebPostClassifierType.backPropagationActivationNeuralNetwork)
{
if (neuralnetwork == null)
{
neuralnetwork = new ClassifierNeuralNetworkSettings();
}
}
IWebPostClassifier output = (IWebPostClassifier)type.GetClassifierInstance();
output.Deploy(this);
return(output);
}
public WebPostClassifierSettings(WebPostClassifierType _type, String _name)
{
type = _type;
name = _name;
switch (type)
{
case WebPostClassifierType.backPropagationActivationNeuralNetwork:
//HiddenLayerOneNeuronCount = 8;
//HiddenLayerTwoNeuronCount = 8;
neuralnetwork = new ClassifierNeuralNetworkSettings();
neuralnetwork.HiddenLayersNeuronCounts.Add(6);
neuralnetwork.HiddenLayersNeuronCounts.Add(5);
neuralnetwork.alpha = 2;
neuralnetwork.learningRate = 1;
neuralnetwork.momentum = 0.5;
neuralnetwork.errorLowerLimit = 0.010;
neuralnetwork.learningIterationsMax = 50;
break;
case WebPostClassifierType.kNearestNeighbors:
kNN_k = 2;
break;
case WebPostClassifierType.multiClassSVM:
lossFunctionForTraining = Loss.L2;
break;
case WebPostClassifierType.naiveBayes:
break;
case WebPostClassifierType.simpleTopScore:
break;
}
}
