I’m trying to implement RNN in pytorch but there are some topic i just dont understand:


Suppose I have a time series input of 150 days, each day has 10 features.I want LSTM to predict next day value of one features when i give it one day input. How can i format it and put it in RNN’s foward part?


I’ve known that LSTM has hidden_size as a argument. What does it do? As far as i know hidden_state = tanh(cell)*sigmoid(weighted input, prev_hidden) which is just a number and have size of 1.


Because I want it to predict one feature’s value of the next day. How could i define loss for it?