koho.lab

KohoNet knet;



knet.Create(64, 2, 1);



Matrix input;

Matrix output;

input.Load();

output.Load();





knet.SetTrainingSet(input, true);

knet.AutoSetInputScaler(input);

knet.TrainAdditive(0.7, 1000);



knet.Save();





Matrix o = knet.Run(input);





Matrix trainconf = ConfusionMatrix(o, output, 0.5);



trainconf.Save();





int numerrors=toint(trainconf.GetSum())-toint(trainconf.GetDiagonalSum());