/// <summary>
/// Converts board to neurel net training example. Returns example corresopnding to normalized board (current player's checker color is blue, last player is green)
/// </summary>
/// <param name="lastPlayerToGo">Current Player which corresponds to last checker placed on board.</param>
public static Example ToNormalizedExample(Board board, Checker lastPlayerToGo)
{
Debug.Assert(lastPlayerToGo != Checker.Empty);
List<double> boardState = board.Cells.Cast<Checker>().Select(c=>Transform.ToNormalizedValue(c, lastPlayerToGo)).ToList();
List<int> features = new List<int>();
// 42 Input Units - Board State Only
// return new Example(boardState);
foreach (Checker checker in new List<Checker> { lastPlayerToGo, Board.Toggle(lastPlayerToGo) })
{
features.AddRange(board.LineOfX(checker));
features.AddRange(board.LineOfX(checker, potential: true));
features.AddRange(board.NumbersInColumns(checker));
features.AddRange(board.NumbersInRows(checker));
features.Add(board.NumberOnBoard(checker));
}
boardState.AddRange(features.Select(e => (double)e));
// 40 Input Units - Features Only
//return new Example(features.Select(e => (double)e).ToList());
// 82 Input Units - Board State and Features
return new Example(boardState);
}
/// <summary>
/// Converts board to neurel net training example. Returns example corresopnding to normalized board (current player's checker color is blue, last player is green)
/// </summary>
/// <param name="lastPlayerToGo">Current Player which corresponds to last checker placed on board.</param>
public static Example ToNormalizedExample(Board board, Checker lastPlayerToGo)
{
Debug.Assert(lastPlayerToGo != Checker.Empty);
List <double> boardState = board.Cells.Cast <Checker>().Select(c => Transform.ToNormalizedValue(c, lastPlayerToGo)).ToList();
List <int> features = new List <int>();
// 42 Input Units - Board State Only
// return new Example(boardState);
foreach (Checker checker in new List <Checker> {
lastPlayerToGo, Board.Toggle(lastPlayerToGo)
})
{
features.AddRange(board.LineOfX(checker));
features.AddRange(board.LineOfX(checker, potential: true));
features.AddRange(board.NumbersInColumns(checker));
features.AddRange(board.NumbersInRows(checker));
features.Add(board.NumberOnBoard(checker));
}
boardState.AddRange(features.Select(e => (double)e));
// 40 Input Units - Features Only
//return new Example(features.Select(e => (double)e).ToList());
// 82 Input Units - Board State and Features
return(new Example(boardState));
}