'Why my custom dataset gives attribute error?
My data is a pandas dataframe with columns 'title' and 'label'. I want to make a custom dataset with this. so I made the dataset like below. I'm working on google colab
class newsDataset(torch.utils.data.Dataset):
def __init__(self,train=True,transform=None):
if train:
self.file = ttrain
else:
self.file= ttest
self.text_list = self.file['title'].values.tolist()
self.class_list=self.file['label'].values.tolist()
def __len__(self):
return len(self.text_list)
def __getitem__(self,idx):
label = self.class_list[idx]
text = self.text_list[idx]
if self.transform is not None:
text=self.transform(text)
return label, text
and this is how I call the dataloader
trainset=newsDataset()
train_iter = DataLoader(trainset)
iter(train_iter).next()
and it gives
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-153-9872744bc8a9> in <module>()
----> 1 iter(train_iter).next()
5 frames
/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataset.py in __getattr__(self, attribute_name)
81 return function
82 else:
---> 83 raise AttributeError
84
85 @classmethod
AttributeError:
There was no exact error message. can anybody help me?
Solution 1:[1]
Please add the following missing line to your __init__ function:
self.transform = transform
Solution 2:[2]
You don't have self.transform attribute so you need to initialize it in __init__ method
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | kkgarg |
| Solution 2 | Henry Ecker |
