cannot import name 'fetch_mldata' from 'sklearn.datasets' (C:\Users\ASUS\anaconda3\Lib\site-packages\sklearn\datasets\__init__.py) 怎么解决

这个错误通常是因为sklearn版本更新导致fetch_mldata函数被删除了。解决方法是使用fetch_openml函数代替fetch_mldata函数。以下是修改后的代码：

from sklearn.datasets import fetch_openml
mnist = fetch_openml('mnist_784')

相关问题

Traceback (most recent call last): File "D:\PycharmProjects\pythonProject2\main.py", line 43, in <module> for batch_idx, (data, _) in enumerate(dataloader): File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 530, in __next__ data = self._next_data() File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 570, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\lib\site-packages\torchvision\datasets\folder.py", line 232, in __getitem__ sample = self.transform(sample) TypeError: 'list' object is not callable 进程已结束,退出代码1

这是一个程序错误，看起来是在使用PyTorch数据加载器时出现了问题。具体错误是“TypeError: 'list' object is not callable”，这意味着你可能在代码中将一个列表（list）当作函数来调用了。建议检查你的代码并确保正确地引用了数据集的变换（transform）函数，并且变换函数的格式应该是一个可调用的函数而不是一个列表。

读取文件夹中的图像数据集Traceback (most recent call last): File "D:\PycharmProjects\pythonProject2\main.py", line 43, in <module> for batch_idx, (data, _) in enumerate(dataloader): File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 530, in __next__ data = self._next_data() File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 570, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\_utils\fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\ProgramData\Anaconda3\lib\site-packages\torchvision\datasets\folder.py", line 232, in __getitem__ sample = self.transform(sample) TypeError: 'module' object is not callable 进程已结束,退出代码1

这个错误通常是由于在使用PyTorch的数据加载器时，数据集的转换函数（transform）被错误地指定为模块而不是可调用对象所导致的。请检查您的代码中的数据集转换函数是否正确地定义为可调用对象。您可以尝试从导入的模块中获取函数并将其分配给变量，然后将其传递给数据集的transform参数。例如，如果您的转换函数在名为my_transforms.py的模块中，请使用以下代码导入并分配它：

from my_transforms import transform_function
transform = transform_function() # or whatever arguments your function takes
dataset = torchvision.datasets.ImageFolder(root="/path/to/data", transform=transform)

如果问题仍然存在，请提供更多代码以供参考。