ValueError:设置随机_状态无效，因为随机播放为False。您应该将random_状态保留为其默认值（None），或者将shuffle=True

Question

当我尝试在pycreat中训练一些东西时，我收到了这个错误消息

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

您应该尝试以下方法：

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


best=compare_models()

Answer 2

对于pycaret 2.2.3

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