import datasets
时间: 2023-10-15 15:05:47 浏览: 30
你可以使用以下代码导入数据集:
```python
from sklearn import datasets
iris = datasets.load_iris()
```
这个代码利用了scikit-learn库中的`load_iris()`函数来导入鸢尾花数据集。你可以使用`dir(iris)`来查看数据集对象的属性和方法,使用`iris.feature_names`来获取数据集中特征的名称。
相关问题
from torchvision import datasets
As an AI language model, I don't have access to the internet and cannot import or use any libraries or modules. However, I can provide you with information about the torchvision.datasets module.
The torchvision.datasets module provides several popular datasets for image classification tasks, such as MNIST, CIFAR-10, and ImageNet. These datasets can be loaded using the datasets.ImageFolder class and transformed using torchvision.transforms.
For example, to load the MNIST dataset, you can use the following code:
```python
import torchvision.datasets as datasets
train_dataset = datasets.MNIST(root='./data', train=True, transform=None, download=True)
test_dataset = datasets.MNIST(root='./data', train=False, transform=None, download=True)
```
This will download the MNIST dataset to the ./data directory and create two datasets: one for training and one for testing. The transform argument can be used to apply data augmentation techniques such as random cropping, flipping, and rotation.
from sklearn import datasets
"from sklearn import datasets" 意思是从 scikit-learn 库中导入 datasets 模块。这个模块包含了许多经典的数据集,如 iris、digits、boston 等,可以用来进行机器学习的实验和研究。