public override RegressionModel Train(BaseVector[] x, int[] nominal, double[] y, Parameters param, int ntheads, Action <double> reportProgress)
{
x = ClassificationMethod.ToOneHotEncoding(x, nominal);
int k = param.GetParam <int>("Number of neighbours").Value;
IDistance distance = Distances.GetDistanceFunction(param);
return(new KnnRegressionModel(x, y, k, distance));
}
public override RegressionModel Train(BaseVector[] x, int[] nominal, double[] y, Parameters param, int nthreads, Action <double> reportProgress)
{
x = ClassificationMethod.ToOneHotEncoding(x, nominal);
ParameterWithSubParams <int> kernelParam = param.GetParamWithSubParams <int>("Kernel");
SvmParameter sp = new SvmParameter {
kernelFunction = KernelFunctions.GetKernelFunction(kernelParam.Value, kernelParam.GetSubParameters()),
svmType = SvmType.EpsilonSvr,
c = param.GetParam <double>("C").Value
};
SvmModel model = SvmMain.SvmTrain(new SvmProblem(x, y), sp);
return(new SvmRegressionModel(model));
}
public override RegressionModel Train(BaseVector[] x, int[] nominal, double[] y, Parameters param, int nthreads, Action <double> reportProgress)
{
x = ClassificationMethod.ToOneHotEncoding(x, nominal);
throw new System.NotImplementedException();
}