ValueError：设置 random_state 无效，因为 shuffle 为 False。您应该将 random_state 保留为其默认值（无），或设置 shuffle=True

Question

当我尝试在 pycreat 中训练某些东西时，我收到此错误消息

ValueError: Setting a random_state has no effect since shuffle is False. You should leave random_state to its default (None), or set shuffle=True.

from pycaret.regression import *
clf1 = setup(data = df, target = 'Survived',train_size = 0.7, session_id = 2)

best=compare_models()

Answer 1

对于 pycaret 2.2.3

exp_clf101 = setup(data = df, target = 'Survived',  fold_shuffle=True, session_id=2)

Answer 2

您应该尝试以下操作：

from pycaret.classification import *
clf1 = setup(data = df, target = 'Survived', train_size = 0.7, data_split_shuffle=True, session_id = 2)


best=compare_models()