static double Test(IHypothesis<Matrix, Vector> network, IDataSet<Matrix, Vector> dataSet, double oldcost = Double.PositiveInfinity)
{
var rtester = new RegressionTester<Matrix>(network);
var cost = rtester.Test(dataSet);
var classifier = new MaxFitClassifier<Matrix>(network);
var ctester = new ClassifierTester<Matrix, Vector, int>(classifier, x => x.IndexOfMax);
var accuracy = ctester.Test(dataSet);
Console.Write("C {0} | {1}%", cost, accuracy * 100);
if (oldcost < cost)
{
Console.WriteLine();
Console.WriteLine("Warning: probably weights will divergent!");
}
return cost;
}
public IHypothesis <object> AssertThat()
{
_hypothesis = Hypothesis.For <object>();
return(_hypothesis);
}
