在 train_test_split sklearn python 上设置种子

Question

有没有办法在 python sklearn 上的 train_test_split 上设置种子。我已将参数random_state 设置为整数，但仍然无法重现结果。

提前致谢。

Answer 1

from sklearn.model_selection import train_test_split
x = [k for k in range(0, 10)]
y = [k for k in range(0, 10)]
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.4, random_state=11)
print (x_train)
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.4, random_state=11)
print (x_train)
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.4, random_state=11)
print (x_train)

每次我拆分数据时，上面的代码都会为 x_train 产生相同的结果。随机性可能在您的数据框中，而不是 train_test_split。