在kaggle笔记本中使用run_evaluation模块评估rasa nlu模型时出现错误，如下所示：
TypeError: classification_report() got an unexpected keyword argument 'output_dict'
from rasa_nlu.evaluate import run_evaluation
run_evaluation("nlu.md", model_directory)
expected output:
INFO:rasa_nlu.evaluate:There were some nlu intent classification errors. Use `--verbose` to show them in the log.
INFO:rasa_nlu.evaluate:Model prediction errors saved to errors.json.
INFO:rasa_nlu.evaluate:Confusion matrix, without normalization:
[[10 1 0 0 0 0 0]
[ 0 13 0 0 0 0 0]
[ 0 0 10 0 0 0 0]
[ 0 0 0 5 0 0 0]
[ 0 0 0 0 6 0 0]
[ 0 0 0 0 0 15 0]
[ 0 0 0 0 0 0 25]]
答案 0 :(得分：0)
似乎与您使用的scikit-learn版本（https://github.com/RasaHQ/rasa/issues/1742）有关。请尝试安装scikit-learn 0.20.2，或者通过执行1.x更好地升级到Rasa pip install rasa。
答案 1 :(得分：0)
评估函数现在称为测试。试试这个：
从rasa_nlu.test导入run_evaluation
参考来自： https://forum.rasa.com/t/run-evaluation-function-can-not-be-imported/9258