public static void TrainModelAt(BasicNetwork net, int gameNumber)
{
Console.WriteLine($"Training at {gameNumber}");
string path = Directory.GetCurrentDirectory() + @"\..\..\Model";
string dataPath = Directory.GetCurrentDirectory() + @"\..\..\Data";
//Check if data is already saved
//if not null then parse
OPSData data = OPSData.GetData(dataPath, "data");
OPSGame game;
//Check if not empty game and not already added to data
if (data.GetGame(gameNumber) == null && !data.emptyGames.Contains(gameNumber))
{
game = Parser.ParseUrl(gameNumber);
if (game != null)
{
data.AddGame(game);
}
else
{
data.AddEmptyGame(gameNumber);
}
}
else
{
game = data.GetGame(gameNumber);
}
if (game == null)
{
Console.WriteLine(gameNumber + " was empty");
return;
}
net.FeedForward(ToFloatArray(game.PlayerOPS));
net.BackProp(ToFloatArray(game.TeamScores));
net.SaveModel(path);
data.SaveData(dataPath, "data");
Console.WriteLine("Train sucessful!");
}
public static void TrainModelWithData(BasicNetwork net, int epochs)
{
string path = Directory.GetCurrentDirectory() + @"\..\..\Model";
string dataPath = Directory.GetCurrentDirectory() + @"\..\..\Data";
OPSData data = OPSData.GetData(dataPath, "data");
var games = data.games;
for (int j = 0; j < epochs; j++)
{
foreach (OPSGame value in games.Values)
{
Console.WriteLine($"Training at {value.GameNumber}");
net.FeedForward(ToFloatArray(value.PlayerOPS));
net.BackProp(ToFloatArray(value.TeamScores));
net.SaveModel(path);
data.SaveData(dataPath, "data");
Console.WriteLine("Train sucessful!");
}
}
}
