When i run code i found error

from torch.utils.data import Dataset
from sklearn.datasets import fetch_openml

# Load data from https://www.openml.org/d/554
X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
class SimpleDataset(Dataset):
    def __init__(self, X, y):
        super(SimpleDataset, self).__init__()
        self.X = X
        self.y = y
    def __getitem__(self, index):
        #This "work" could have gone in the constructor, but you should get into 
        inputs = torch.tensor(self.X[index,:], dtype=torch.float32)
        targets = torch.tensor(int(self.y[index]), dtype=torch.int64)
        return inputs, targets 

    def __len__(self):
        return self.X.shape[0]
#Now we can make a PyTorch dataset 
dataset = SimpleDataset(X, y)
print("Length: ", len(dataset))
example, label = dataset[0]
print("Features: ", example.shape) #Will return 784
print("Label of index 0: ", label)

The screenshot shows an indexing error raised by pandas so check where a pandas.DataFrame is used and how it’s being indexed to narrow down the root cause of the wrong indexing value.

This is my notebook link please help me solve my error https://colab.research.google.com/drive/1tzYQlIktxWVlJiXwSHdaJhJhNdoY2du0?usp=sharing.

Try indexing using iloc:

inputs = torch.tensor(self.X.iloc[index,:], dtype=torch.float32)
targets = torch.tensor(int(self.y.iloc[index]), dtype=torch.int64)