Hi - new to the forum and new to pytorch 
I have a .tsv file with 120 rows and 800 columns, each row is a sample and each column a feature. I want to prepare it for a neural network. I have read in the data using panda:
dataset = pd.read_csv(“filepath”, sep=’\t’)
Next, I want to use a trainloader,
torch.utils.data.DataLoader(dataset = dataset)
But I don’t know how to tell the trainloader which are my y values (1st column) and which are my input features (the rest of the columns)
I have also been looking into the torchtext.data.TabularDataset function, but can’t get it to work either.
All inputs are much appreciated