Changed Model Evaluation Function For Categorical Model

silverlightning926 · Jun 22, 2024 · 0ca007e · 0ca007e
1 parent a9e14b9
commit 0ca007e
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Showing 2 changed files with 16 additions and 4 deletions.
diff --git a/src/play/model_vs_model.py b/src/play/model_vs_model.py
@@ -23,11 +23,17 @@ def get_legal_moves(board: chess.Board):
 
 
 def evaluate_board(board: chess.Board):
+    turn = board.turn
+
     encoded_board = encode_board(board)
     encoded_board = np.reshape(encoded_board, (1, 8, 8, 12))
 
-    prediction = model.predict(encoded_board, verbose=0, batch_size=1)
-    return prediction[0][0]
+    prediction = model.predict(encoded_board)
+
+    if turn:
+        return prediction[0][0]
+
+    return prediction[0][1]
 
 
 def minimax(board: chess.Board, depth: int, alpha: float, beta, maximizing_player: bool):

diff --git a/src/play/player_vs_model.py b/src/play/player_vs_model.py
@@ -25,11 +25,17 @@ def get_legal_moves(board: chess.Board):
 
 
 def evaluate_board(board: chess.Board):
+    turn = board.turn
+
     encoded_board = encode_board(board)
     encoded_board = np.reshape(encoded_board, (1, 8, 8, 12))
 
-    prediction = model.predict(encoded_board, verbose=0, batch_size=1)
-    return prediction[0][0]
+    prediction = model.predict(encoded_board)
+
+    if turn:
+        return prediction[0][0]
+
+    return prediction[0][1]
 
 
 def minimax(board: chess.Board, depth: int, alpha: float, beta, maximizing_player: bool):