Changed save file to .csv and added Keras folder

AI/src/mcts/test_mcts_two_players.hpp

@@ -39,7 +39,7 @@ test_mcts_two_players<Game>::test_mcts_two_players(const Game& g, const heuristi
 {
     game::config& config = game::config::get_config();
 
-	savefile.open("save/save.txt", std::ios::app);
+	savefile.open("save/save.csv", std::ios::app);
 
     if(config.is_ai_vs_ai())
     {
@@ -88,7 +88,7 @@ template <typename Game>
 void test_mcts_two_players<Game>::save_board(const Game& game, int move){
 	std::shared_ptr<game::penguin> g = game::copy(game);
 	game::penguin_state state = g->get_state();
-	savefile << state.one_fish << " " << state.two_fish << " " << state.three_fish << " " << g->penguin_board(false) << " " << g->penguin_board(true) << " " << move << std::endl;
+	savefile << state.one_fish << ";" << state.two_fish << ";" << state.three_fish << ";" << g->penguin_board(false) << ";" << g->penguin_board(true) << ";" << move << std::endl;
 }
 
 template <typename Game>
@@ -231,7 +231,7 @@ void test_mcts_two_players<Game>::self_play(Game g, const heuristic<Game>& h1, c
     for (unsigned int i = 0; i < c.get_game_count(); ++i)
     {
         //std::cout << i << std::endl;
-		savefile << 0 << std::endl;
+		savefile << "0;0;0;0;0;0" << std::endl;
 		if(i%2 == 0)
 		{
 			state = game::penguin::random_start_state();

Keras/deeplearning

+#!/usr/bin/python
+
+from keras.models import Sequential
+from keras.layers import Dense
+
+import numpy
+seed = 7
+numpy.random.seed(seed)

save/save.csv

+0;0;0;0;0;0
+535368492349450263;581484495112372960;36068517145023752;330240;137441050888;39274
+535368492349450263;581484495112372960;36068517144958216;1099511892480;137441050888;32
+535368492349450263;581484495112372960;36068517144958208;1099511892480;35321813139712;2