public void Basic_RBF_Kernel_Serialization_Test()
{
var data = new List <object>();
for (var i = 0; i < 100; i++)
{
data.Add(new { Prop1 = i, Prop2 = i + 1, Prop3 = i + 2, Result = i % 2 == 0 });
}
var descriptor = Descriptor.Create(typeof(object))
.With("Prop1").As(typeof(int))
.With("Prop2").As(typeof(int))
.With("Prop3").As(typeof(int))
.Learn("Result").As(typeof(bool));
var kernel = new RBFKernel(3);
var generator = new KernelPerceptronGenerator(kernel)
{
Descriptor = descriptor
};
var model = generator.Generate(descriptor, data) as KernelPerceptronModel;
var file = GetPath();
var lmodel = SaveAndLoad(model, file);
}
private void buttonOk_Click(object sender, EventArgs e)
{
if (this.radioButtonRBF.Checked)
{
RBFKernel MyGeneratedKernel = new RBFKernel();
((RBFKernel)MyGeneratedKernel).setGamma((double)this.numericUpDownRBFGamma.Value);
GeneratedKernel = (Kernel)(MyGeneratedKernel);
}
if (this.radioButtonPearson.Checked)
{
Puk MyGeneratedKernel = new Puk();
((Puk)MyGeneratedKernel).setSigma((double)this.numericUpDownPearsonSigma.Value);
((Puk)MyGeneratedKernel).setOmega((double)this.numericUpDownPearsonOmega.Value);
GeneratedKernel = (Kernel)(MyGeneratedKernel);
}
if (this.radioButtonPolyKernel.Checked)
{
PolyKernel MyGeneratedKernel = new PolyKernel();
MyGeneratedKernel.setExponent((double)this.numericUpDownPolyExponent.Value);
GeneratedKernel = (Kernel)(MyGeneratedKernel);
}
}
