public static IWebPostClassifier GetClassifierInstance(this WebPostClassifierType model)
{
switch (model)
{
default:
case WebPostClassifierType.simpleTopScore:
return(null);
break;
case WebPostClassifierType.kNearestNeighbors:
return(new WebPostKNNClassifier());
break;
case WebPostClassifierType.multiClassSVM:
return(new WebPostMSVMClassifier());
break;
case WebPostClassifierType.naiveBayes:
return(new WebPostNaiveBayesClassifier());
break;
case WebPostClassifierType.backPropagationActivationNeuralNetwork:
return(new WebPostBackPropActNNClassifier());
break;
}
}
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;
}
}
