using the distance argument.from langchain.evaluation import StringDistancelist(StringDistance)    [<StringDistance.DAMERAU_LEVENSHTEIN: 'damerau_levenshtein'>,     <StringDistance.LEVENSHTEIN: 'levenshtein'>,     <StringDistance.JARO: 'jaro'>,     <StringDistance.JARO_WINKLER: 'jaro_winkler'>]jaro_evaluator = load_evaluator(    "string_distance", distance=StringDistance.JARO, requires_reference=True)jaro_evaluator.evaluate_strings(    prediction="The job is completely done.",    reference="The job is done",)    {'score': 0.19259259259259254}jaro_evaluator.evaluate_strings(    prediction="The job is done.",    reference="The job isn't done",)    {'score': 0.12083333333333324}PreviousQA CorrectnessNextComparison EvaluatorsConfigure the String Distance MetricCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.