def is_confident()

in src/epam/auto_llm_eval/evaluator.py [0:0]

• 3 lines of code
• 1 McCabe index (conditional complexity)

    def is_confident(self, threshold: float = 0.9) -> bool:
        """
        Determine if the model is confident about the score.

        Args:
            threshold (float, optional): The probability threshold for
            confidence. Defaults to 0.9.

        Returns:
            bool: True if the highest probability exceeds the threshold,
            False otherwise.
        """
        (_, max_prob) = max(self.probabilities, key=lambda x: x[1])
        return max_prob > threshold