本文整理匯總了Python中sklearn.model_selection.ShuffleSplit.get_n_splits方法的典型用法代碼示例。如果您正苦於以下問題：Python ShuffleSplit.get_n_splits方法的具體用法？Python ShuffleSplit.get_n_splits怎麽用？Python ShuffleSplit.get_n_splits使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sklearn.model_selection.ShuffleSplit的用法示例。
在下文中一共展示了ShuffleSplit.get_n_splits方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: ShuffleSplit
# 需要導入模塊: from sklearn.model_selection import ShuffleSplit [as 別名]
# 或者: from sklearn.model_selection.ShuffleSplit import get_n_splits [as 別名]
from sklearn.model_selection import ShuffleSplit
import numpy as np
X = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
y = np.array([1, 2, 1, 2])
rs = ShuffleSplit(n_splits=3, test_size=.25, random_state=0)
rs.get_n_splits(X)
print(rs)
ShuffleSplit(n_splits=3, random_state=0, test_size=0.25, train_size=None)
for train_index, test_index in rs.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
rs = ShuffleSplit(n_splits=3, train_size=0.5, test_size=.25,
random_state=0)
for train_index, test_index in rs.split(X):
print("# TRAIN:", train_index, "TEST:", test_index)