Added comments for Christoffer!
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@ -307,6 +307,7 @@ class Network:
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list_of_moves = []
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# Prepping of data
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for idx, board in enumerate(boards):
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all_board_moves = []
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for roll in all_rolls:
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@ -317,14 +318,16 @@ class Network:
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list_of_moves.append(np.array(all_board_moves))
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print(time.time() - start)
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start = time.time()
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# Running data through networks
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all_scores = [self.model.predict_on_batch(board) for board in list_of_moves]
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transformed_scores = [x if player == 1 else (1-x) for x in all_scores]
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scores_means = [tf.reduce_mean(score) for score in all_scores]
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transformed_means = [tf.reduce_mean(score) for score in transformed_scores]
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print(time.time() - start)
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return ([scores_means, transformed_means])
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