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

如何解决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

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()

解决方法

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()

,

对于pycaret 2.2.3

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