train_test_split' is not defined
时间: 2023-10-30 09:03:39 浏览: 55
`train_test_split` is a function provided by the scikit-learn library in Python. It is used to split a dataset into training and testing subsets. To use this function, you need to import it from the `sklearn.model_selection` module.
Here's an example of how you can use it:
```python
from sklearn.model_selection import train_test_split
# Assuming you have a dataset X and corresponding labels y
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)
```
In this example, `X` is the input data and `y` is the corresponding labels. The `test_size` parameter specifies the proportion of the dataset that should be used for testing (e.g., 0.2 for 20% testing data), and `random_state` is used to ensure reproducibility of the split.
Make sure you have scikit-learn installed (`pip install scikit-learn`) before using this function.