/// <param name="checkSuccess">Funcion takes 'expected', 'actual' returns bool wether or not actual can be considerd a success</param>
public static ValidationResult Validate(Network network, IEnumerable<InputExpectedResult> inputResults, Func<double[], double[], bool> checkSuccess)
{
ValidationResult totalResult = null;
foreach(var cur in inputResults) {
double[] actual = network.GetInputResult(cur.Input);
double sse = SumSquaredError(cur.Output, actual);
bool success = checkSuccess(cur.Output, actual);
var res = new ValidationResult(sse, success);
totalResult += res;
}
return totalResult;
}
public void TestGetInputResult()
{
var rand = new Random();
double input = (double)(rand.NextDouble() * 100 + 1);
double weight = (double)(rand.NextDouble() * 2);
var sigmoid = new SigmoidFunction();
var nw = new Network(sigmoid, false);
var inputNode = new Input(input);
var outputNode = new Perceptron(sigmoid, "Output");
Connection.Create(weight, inputNode, outputNode);
nw.Nodes = new Node[][] {
new Node[] { inputNode },
new Node[] { outputNode }
};
var nwOut = nw.GetInputResult(input)[0];
//Output
// = Sig(inpToOut.Output)
// = Sig(inpToOut.Weight * inpToOut.GetInput())
// = Sig(inpToOut.Weight * inputNode.Output)
// = Sig(this.weight * this.input)
var expOut = sigmoid.Calculate(weight * input);
Assert.AreEqual(nwOut, expOut);
}
