public class PerceptronTrainingImpl implements PerceptronTraining {

    public static final Random RANDOM = new Random();

    @Override
    public Perceptron train(final double trainingSpeed, final Iterable<TrainingData> trainingDataSet) {
        List<Double> weight = new ArrayList<>();
        for (int i = 0; i < trainingDataSet.iterator().next().getInput().size(); i++) {
            weight.add(RANDOM.nextDouble());
        }
        Perceptron perceptron = new ru.ifmo.enf.panina.t13.Perceptron(weight);
        boolean weightChanged = true;
        while (weightChanged) {
            weightChanged = false;
            for (TrainingData trainingData : trainingDataSet) {
                double o = perceptron.getOutput(trainingData.getInput());
                if (o != trainingData.retResult()) {
                    weight = new ArrayList<>();
                    weightChanged = true;
                    for (int i = 0; i < trainingDataSet.iterator().next().getInput().size(); i++) {
                        weight.add(perceptron.getWeights().get(i) + trainingSpeed * (trainingData.retResult() - o) * trainingData.getInput().get(i));
                    }
                    perceptron = new ru.ifmo.enf.panina.t13.Perceptron(weight);
                }
            }
        }
        return perceptron;
    }
}