python - pycaret compare_models() 调用无法识别排序

Question

创建 clr_default 后：

clr_default = setup(df_rain_definitivo_one_drop_catboost_norm_fs_dropna,fold_shuffle=True, target='RainTomorrow', session_id=123)

我尝试使用 Pycaret 中的 compare_models() 函数，使用以下调用：

best_model = compare_models()
from pycaret.classification import *

但是我收到以下错误消息：

ValueError                                Traceback (most recent call last)
<ipython-input-228-e1d76b68915a> in <module>()
----> 1 best_model = compare_models(n_select = 5, sort='Accuracy')

1 frames
/usr/local/lib/python3.7/dist-packages/pycaret/internal/tabular.py in compare_models(include, exclude, fold, round, cross_validation, sort, n_select, budget_time, turbo, errors, fit_kwargs, groups, verbose, display)
   1954         if sort is None:
   1955             raise ValueError(
-> 1956                 f"Sort method not supported. See docstring for list of available parameters."
   1957             )
   1958 

ValueError: Sort method not supported. See docstring for list of available parameters.

我尝试使用 sort 参数 = 'Accuracy' 调用 compare_models() 但它没有任何好处。另外，我在 Google Colab 上