src/fmeval/model_runners/bedrock_model_runner.py [72:97]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        embedding = (
            self._extractor.extract_embedding(data=model_output, num_records=1)
            if self._extractor.embedding_jmespath_expression
            else None
        )
        if embedding:
            return embedding

        output = (
            self._extractor.extract_output(data=model_output, num_records=1)
            if self._extractor.output_jmespath_expression
            else None
        )
        log_probability = (
            self._extractor.extract_log_probability(data=model_output, num_records=1)
            if self._extractor.log_probability_jmespath_expression
            else None
        )
        return output, log_probability

    def __reduce__(self):
        """
        Custom serializer method used by Ray when it serializes instances of this
        class in eval_algorithms.util.generate_model_predict_response_for_dataset.
        """
        serialized_data = (
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



src/fmeval/model_runners/sm_model_runner.py [82:107]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        embedding = (
            self._extractor.extract_embedding(data=model_output, num_records=1)
            if self._extractor.embedding_jmespath_expression
            else None
        )
        if embedding:
            return embedding

        output = (
            self._extractor.extract_output(data=model_output, num_records=1)
            if self._extractor.output_jmespath_expression
            else None
        )
        log_probability = (
            self._extractor.extract_log_probability(data=model_output, num_records=1)
            if self._extractor.log_probability_jmespath_expression
            else None
        )
        return output, log_probability

    def __reduce__(self):
        """
        Custom serializer method used by Ray when it serializes instances of this
        class in eval_algorithms.util.generate_model_predict_response_for_dataset.
        """
        serialized_data = (
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -