X_train, X_test, y_train, y_test = train_test_split(train_data, train_target, test_size, random_state, shuffle)
时间: 2023-08-24 14:13:38 浏览: 100
引用\[1\]和\[2\]提供了train_test_split函数的两个示例用法。train_test_split函数是scikit-learn库中的一个函数,用于将数据集划分为训练集和测试集。根据这两个示例,函数的参数包括train_data(训练数据集)、train_target(训练目标)、test_size(测试集大小)、random_state(随机种子)和stratify(分层抽样)。其中,train_data和train_target是输入的数据和目标变量,test_size表示测试集的比例,random_state用于控制随机性,stratify用于进行分层抽样。引用\[3\]提供了官方文档链接,可以查看更多关于train_test_split函数的详细信息。根据你的问题,train_test_split函数的调用应该是train_test_split(train_data, train_target, test_size, random_state, shuffle)。请注意,shuffle参数在你的问题中没有提到,你可以根据需要添加该参数来控制是否对数据进行洗牌。
#### 引用[.reference_title]
- *1* [关于x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=0)](https://blog.csdn.net/qq_42671928/article/details/121796069)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [2021大三机器学习:train_test_split方法详解](https://blog.csdn.net/Xmumu_/article/details/120677767)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [train_test_split()函数](https://blog.csdn.net/qq_39355550/article/details/82688014)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]
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