def __init__()

in src/fmeval/eval_algorithms/qa_accuracy.py [0:0]


    def __init__(self, eval_algorithm_config: QAAccuracyConfig = QAAccuracyConfig()):
        """QAAccuracy initializer.

        :param eval_algorithm_config: QA Accuracy evaluation algorithm config.
        """
        super().__init__(eval_algorithm_config)

        self.bertscore_model = BertscoreHelperModel(eval_algorithm_config.model_type_for_bertscore)

        # Saving QAAccuracyScores in the original self.transform
        self.transform = QAAccuracyScores(target_output_delimiter=eval_algorithm_config.target_output_delimiter)

        self.split_transform = SplitWithDelimiter(
            input_key=DatasetColumns.TARGET_OUTPUT.value.name,
            output_key=POSSIBLE_TARGETS,
            target_output_delimiter=eval_algorithm_config.target_output_delimiter,
        )
        self.bert_scores = BertScore(
            target_output_keys=None,
            model_output_keys=[DatasetColumns.MODEL_OUTPUT.value.name],
            output_keys=[BERT_SCORE],
            allow_duplicate_input_keys=True,
            target_output_keys_provider=POSSIBLE_TARGETS,
            bertscore_model=self.bertscore_model,
        )

        self._eval_algorithm_config = eval_algorithm_config

        self.pipeline = TransformPipeline([self.transform, self.split_transform, self.bert_scores])