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如何在不使用 function train_test_split 的情况下将数据拆分为测试和训练？

[英]How can I split the data into test and train without using function train_test_split?

原文 2020-05-14 14:08:25 3 1 python/ scikit-learn/ train-test-split

i am currently working on timeseries forecasting, and I have to split the data into a training set and a test set.我目前正在进行时间序列预测，我必须将数据分成训练集和测试集。 (Have the first 70% of the data be in the training set) （让前 70% 的数据在训练集中）

However, i cannot use the train_test_split function because it will shuffle the rows.但是，我不能使用 train_test_split function 因为它会洗牌。 How else I can split the data我还能如何拆分数据

1 个解决方案

You can actually use train_test_split, but setting shuffle = False您实际上可以使用 train_test_split，但设置shuffle = False

https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html

如何在不使用train_test_split（）的情况下拆分数据集？ - How to split the data set without train_test_split()?

我们如何将显式测试数据和训练数据提供给 SVM 而不是使用 train_test_split 函数？ - How can we give explicit test data and train data to SVM instead of using train_test_split function?

如何使用train_test_split将未标记的数据拆分为训练集和测试集？ - How to split unlabeled data into train and test set using train_test_split?

如何使用 train_test_split 拆分元组？ - How to split a tuple using train_test_split?

如何使用 sklearn 中的 train_test_split 确保用户和项目同时出现在训练和测试数据集中？ - How can I ensure that the users and items appear in both train and test data set with train_test_split in sklearn?

如何使用 Python Numpy 中的 train_test_split 将数据拆分为训练、测试和验证数据集？分裂不应该是随机的 - How to split data by using train_test_split in Python Numpy into train, test and validation data set? The split should not random

带有test_size = 0的train_test_split如何影响数据？ - How is train_test_split with test_size=0 affecting the data?

用 numpy 编写一个 train_test_split 函数 - writing a train_test_split function with numpy

修改train_test_split函数 - Modifying train_test_split function

train_test_split 不拆分数据 - train_test_split not splitting data

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