public void Change(bool isSave)
{
if (isSave)
{
TrainingSets.Apply(x => x.IsNew = false);
isChange = false;
}
}
public void Add()
{
TrainingSets.Add(new TrainingItem(true));
SelectedTItem = TrainingSets.LastOrDefault();
foreach (var item in TrainingSets)
{
NotifyOfPropertyChange(() => item);
}
OnDataChange();
}
public void Remove(TrainingItem trainingItem)
{
bool isSelected = SelectedTItem == trainingItem;
TrainingSets.Remove(trainingItem);
if (isSelected)
{
SelectedTItem = TrainingSets.LastOrDefault();
}
OnDataChange();
}
public void AddRange(IList <TrainingItem> items)
{
Clear();
foreach (var item in items)
{
TrainingSets.Add(item.SubcribeTrainingSet());
}
SelectedTItem = TrainingSets.LastOrDefault();
isChange = false;
OnDataChange();
}
private void ConstructTrainingSet()
{
//Sharpness vs Edible - a 0 = a weapon and a 1 = food
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.5, 1 }, Output = 1
}); //croisant
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0, 0.8 }, Output = 1
}); //burger
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.2, 1 }, Output = 1
}); //strawberry
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.1, 0.5 }, Output = 1
}); //cupcake
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.1, 0.5 }, Output = 1
}); //fries
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.3, 0.5 }, Output = 1
}); //cutlet
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.5, 0.9 }, Output = 1
}); //carrot
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.8, 1 }, Output = 1
}); //pineabple
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.1, 0 }, Output = 1
}); //numchucks
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.5, 0.3 }, Output = 1
}); //bow
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.5, 0.3 }, Output = 1
}); //stick
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.1, 0.1 }, Output = 1
}); //sword
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.7, 0 }, Output = 1
}); //axe
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0.9, 0 }, Output = 1
}); //kunai
//if you graph these you will see the food items are towards the up part of the graph and the weapons toward the bottom and a clear line you can
//draw (decision boundary) to see what that looks like
}
private void ConstructTrainingSet()
{
//OR training set
//0 || 0 = 0
//0 || 1 = 1
//1 || 0 = 1
//1 || 1 = 1
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0, 0 }, Output = 0
});
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 0, 1 }, Output = 1
});
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 1, 0 }, Output = 1
});
TrainingSets.Add(new TrainingSet {
Inputs = new double[] { 1, 1 }, Output = 1
});
}
public void Clear()
{
TrainingSets.Clear();
OnDataChange();
}
