public void KnnTest()
{
var experimentName = "boys";
var knnLearner = new KnnLearner(experimentName);
knnLearner.KnnTest();
}
public void LearnAndPredict()
{
var experimentName = "boys";
var knnLearner = new KnnLearner(experimentName);
var knnPredictor = new KnnPredictor(experimentName);
var inputs = new Dictionary <int, string>();
var test = "mavi,ayakkabı,kadın";
inputs.Add(1, "mavi,tshirt,erkek");
inputs.Add(2, "beyaz,gömlek,kadın");
inputs.Add(3, "mavi,gömlek,kadın");
inputs.Add(4, "yeşil,ayakkabı,erkek");
inputs.Add(5, "yeşil,beyaz,gömlek,kadın");
inputs.Add(6, "mavi,yeşil,ayakkabı,kadın");
inputs.Add(7, "beyaz,mavi,gömlek,erkek");
inputs.Add(8, "beyaz,yeşil,kadın,ayakkabı");
inputs.Add(9, "beyaz,etek,kadın");
inputs.Add(10, "mavi,erkek,ayakkabı");
var tags = knnLearner.InitTrainingModel(inputs);
knnLearner.Learn();
tags.SetItemPresence(test, ',');
knnPredictor.LoadLearnedModel(knnLearner.KnnModel);
knnPredictor.SetK(3);
var output = knnPredictor.Predict(tags.Values.ToArray());
var acc = knnLearner.EvaluateAccuracy();
}
