Hello,
My question is regarding the input size of the classification/regression when we use n columns instead of images.
Let’s say I have a classification problem, for which I have 20 numerical variables (500 raws each) and 1 label with 5 possible classes. I understand the output size is 5.
However, I do not know what is the input class, is it 1*20= 20?
Most Pytorch tutorials I have found for multi-class classification use MNIST dataset, thus the input size is 28*28, but what if I have several varibles instead of pictures?
Thanks for your help.