/// <inheritdoc/>
public IMLMethod CreateMethod(String methodType, String architecture,
int input, int output)
{
if (MLMethodFactory.TypeFeedforward.Equals(methodType))
{
return(_feedforwardFactory.Create(architecture, input, output));
}
if (MLMethodFactory.TypeRbfnetwork.Equals(methodType))
{
return(_rbfFactory.Create(architecture, input, output));
}
if (MLMethodFactory.TypeSVM.Equals(methodType))
{
return(_svmFactory.Create(architecture, input, output));
}
if (MLMethodFactory.TypeSOM.Equals(methodType))
{
return(_somFactory.Create(architecture, input, output));
}
if (MLMethodFactory.TypePNN.Equals(methodType))
{
return(_pnnFactory.Create(architecture, input, output));
}
if (MLMethodFactory.TypeBayesian.Equals(methodType))
{
return(_bayesianFactory.Create(architecture, input, output));
}
throw new EncogError("Unknown method type: " + methodType);
}
public IMLTrain CreateTraining(IMLMethod method, IMLDataSet training,
String type, String args)
{
String args2 = args;
if (args2 == null)
{
args2 = "";
}
if (String.Compare(MLTrainFactory.TypeRPROP, type) == 0)
{
return(rpropFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeBackprop, type) == 0)
{
return(backpropFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSCG, type) == 0)
{
return(scgFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeLma, type) == 0)
{
return(lmaFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSVM, type) == 0)
{
return(svmFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSVMSearch, type) == 0)
{
return(svmSearchFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSOMNeighborhood, type) == 0)
{
return(neighborhoodFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeAnneal, type) == 0)
{
return(annealFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeGenetic, type) == 0)
{
return(geneticFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSOMCluster, type) == 0)
{
return(somClusterFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeManhattan, type) == 0)
{
return(manhattanFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeSvd, type) == 0)
{
return(svdFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypePNN, type) == 0)
{
return(pnnFactory.Create(method, training, args2));
}
else if (String.Compare(MLTrainFactory.TypeQPROP, type) == 0)
{
return(qpropFactory.Create(method, training, args2));
}
else if (MLTrainFactory.TypeBayesian.Equals(type))
{
return(bayesianFactory.Create(method, training, args2));
}
else if (MLTrainFactory.TypeNelderMead.Equals(type))
{
return(nmFactory.Create(method, training, args2));
}
else if (MLTrainFactory.TypePSO.Equals(type))
{
return(psoFactory.Create(method, training, args2));
}
else if (MLTrainFactory.TypeNEATGA.Equals(type))
{
return(this.neatGAFactory.Create(method, training, args2));
}
else if (MLTrainFactory.TypeEPLGA.Equals(type))
{
return(this.eplTrainFctory.Create(method, training, args2));
}
else
{
throw new EncogError("Unknown training type: " + type);
}
}